Contradiction-MCP

mcp
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  • execSync — Synchronous shell command execution in contradiction-mcp/bin/cli.js
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  • process.env — Environment variable access in contradiction-mcp/bin/cli.js
  • os.homedir — User home directory access in contradiction-mcp/scripts/install-mcp.js
  • process.env — Environment variable access in contradiction-mcp/scripts/install-mcp.js
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SUMMARY

Autonomous Model Context Protocol (MCP) engine for factual consistency, version reconciliation, and conflict resolution across engineering knowledge bases.

README.md

Contradiction MCP

Autonomous Cross-Source Inconsistency & Contradiction Intelligence Engine for AI Agents

CI Pipeline
License: MIT
Node.js Version
TypeScript
MCP Specification
Vitest Tests
Security Audit
Code Style
Glama Score
Smithery


Contradiction MCP on Glama

ProblemCapabilitiesLimitationsArchitectureQuickstartTools ReferenceTutorialsDocsLicense


[!NOTE]

Project Status: Active Development (v0.3.1)

Contradiction MCP is currently under active development. Core multi-format document ingestion (Markdown, RFC822 .eml, OpenXML .docx, and JSON) and cross-document contradiction discovery are operational and verified. Heuristic classifiers, deep JSON scoping, and public APIs are actively evolving prior to v1.0.0.


The Problem It Solves

Modern engineering ecosystems rely on fragmented, uncoordinated sources of truth:

  • Code Repositories: package.json, Dockerfile, CI/CD workflows (.github/workflows/*.yml)
  • Deployment Manifests: Kubernetes YAML, Helm values, cloud environment configurations
  • Technical Documentation: Architecture guides, runbooks, developer setup portals, READMEs
  • Public Endpoints: OpenAPI/Swagger schemas, status feeds, live web documentation

When these systems diverge—for example, a Kubernetes manifest deploying Node.js 22 while technical documentation instructs developers to run Node.js 18, or conflicting database engine versions across staging and production—silent regressions, deploy failures, and hallucinations in LLM reasoning occur.

Contradiction MCP bridges these silos through automated multi-source ingestion, context-aware contradiction reasoning, source authority and freshness scoring, human-in-the-loop review/resolution workflows, and immutable audit trails.


Core Capabilities

  • Zero Mocks: Real embedded SQLite with Write-Ahead Logging (WAL), real filesystem I/O with directory containment guards, and real HTTP fetchers with pre-flight DNS validation.
  • Context-Aware Contradiction Engine: Eliminates false positives by understanding semantic contexts:
    • Environments: production vs staging vs development
    • Scopes: file vs deployment vs cluster
    • Roles: source_of_truth vs deployment vs documentation
  • Deterministic SemVer Mathematics: Employs rigorous version range satisfaction algebra rather than naive string comparisons.
  • Multi-Source Ingestion Pipeline:
    • GitHub Connector: Analyzes runtime engines, Dockerfiles, GitHub Actions workflows, and READMEs.
    • Document Connector: Extracts structured claims from JSON, YAML, Markdown, CSV, TXT, RFC822 (.eml), and OpenXML (.docx) documents with exact page- and line-numbered evidence citations.
    • Public Website Connector: Web crawler hardened with multi-layer SSRF protection against loopback, private IPv4/IPv6 CIDRs, and cloud metadata endpoints (169.254.169.254).
  • Scoring & Advisory Intelligence:
    • AuthorityScorer: Ranks conflicting claims based on source hierarchy and origin credibility.
    • FreshnessScorer: Applies exponential half-life time decay models.
    • EvidenceEvaluator: Quantifies citation directness and snippet quality.
    • ResolutionAdvisor: Generates actionable resolution recommendations without mutating state without operator consent.
  • Review & Resolution Workflows: Full lifecycle transitions (OPENREVIEWEDRESOLVED / DISMISSEDREOPENED) backed by append-only audit histories.
  • Dual Transport Architecture: Operates over standard Stdio (for Claude Desktop, Google Antigravity, Cursor) or Streamable HTTP/SSE with Bearer API key authentication and sliding rate limiting.

Limitations & Known Edge Cases

While Contradiction MCP is battle-tested on cross-document and cross-source consistency audits, users and integrating agents should take note of current architectural boundaries and operational edge cases:

  1. Intra-Manifest Hierarchical Collisions (Deeply Nested JSON/YAML/K8s):

    • Behavior: Key-value extraction flattens object hierarchies into leaf tokens. In complex single manifests (such as Kubernetes deployments or Terraform plans), parameters sharing identical leaf keys across distinct blocks (e.g., readinessProbe.initialDelaySeconds vs livenessProbe.initialDelaySeconds, or container resources.requests.cpu vs resources.limits.cpu) can trigger intra-file candidate comparisons and false-positive warnings.
    • Mitigation: Focus analysis on cross-document source verification or filter by external source boundaries (sync_source / compare_sources). Full JSON-path namespace scoping is in development for future releases.
  2. Heuristic Claim Extraction vs Nuanced Prose Negations:

    • Behavior: Heuristic extractors identify explicit version strings, ports, URLs, quantities, and key-value declarations from markdown tables, code fences, and bullet points. Complex natural language nuance, rhetorical negations (e.g., "We initially planned v3.0, but firmly rejected it in favor of v2.4"), or implied conditionals without standard configuration keys might not extract or may produce contradictory assertions requiring manual review.
    • Mitigation: Use explicit tabular or structured key-value declarations in documentation, or use create_claim to programmatically ingest claims with verified predicate semantics.
  3. Connector Security Sandboxing & Network Boundaries:

    • Document Connector: File ingestion is strictly restricted to configured allowedRoots (default: current workspace). Paths outside these roots or attempts to navigate via directory traversal are rejected by design.
    • Website Connector: Enforces strict SSRF protections, blocking private RFC 1918 subnets, loopback interfaces (127.0.0.1, localhost), and cloud instance metadata endpoints (169.254.169.254). HTTP redirects are capped at 5 hops to prevent circular redirect exhaustion. Client-side rendered Single-Page Applications (SPAs) requiring JavaScript execution are not executed dynamically; static HTML snapshots or rendered markdown must be supplied.
    • GitHub Connector: Governed by GitHub REST API rate limits (60 requests/hour unauthenticated; 5,000 requests/hour with GITHUB_TOKEN).
  4. Static Assertions vs Ephemeral Live Infrastructure:

    • Behavior: The engine analyzes declared assertions across files, repositories, API specs, and documentation. It does not probe live runtime network sockets, ephemeral cloud container states, or uncommitted database rows unless synced as structured state documents.
  5. Pairwise Combinatorial Complexity on Monolithic Manifests:

    • Behavior: Files producing >1,000 claims increase pairwise combinations quadratically ($O(N^2)$ worst-case prior to subject grouping and similarity pruning).
    • Mitigation: Bounded file size guards (MAX_FILE_SIZE_BYTES, default 10MB) prevent memory exhaustion. Partition giant monolithic specifications into modular domain or component manifests.
  6. Environment & Scope Assumptions:

    • Behavior: Contradiction MCP recognizes disjoint runtime environments (development, staging, testing, production, deployment, ci). However, if claims are ingested without explicit environment or scope metadata, the engine conservatively assumes they apply to the same global subject scope.
    • Mitigation: Provide explicit environment and scope arguments when syncing sources or creating claims to prevent false positives across heterogeneous environments.
  7. Language & Domain Units:

    • Behavior: Predicate patterns, quantity normalizers (GB, MB, ms, s, ports, semantic versions, comma-formatted numbers), and terminology heuristics are tuned for English technical documentation and standard DevOps configurations. Multi-lingual prose extraction without standard keying is planned for future major releases.

System Architecture

Visual Dataflow

flowchart TD
    subgraph Clients["MCP Clients & IDEs"]
        Claude["Claude Desktop"]
        AGY["Google Antigravity"]
        Cursor["Cursor IDE"]
        HTTP["Remote HTTP / SSE"]
    end

    subgraph Protocol["MCP Protocol Layer"]
        StdioT["StdioServerTransport"]
        HttpT["StreamableHttpTransport"]
        Router["12 Canonical Tools | 4 Resources | 2 Prompts"]
    end

    subgraph Core["Analysis & Intelligence Engine"]
        Engine["ContradictionEngine"]
        Classifier["ContradictionClassifier"]
        Authority["AuthorityScorer"]
        Freshness["FreshnessScorer"]
        Advisor["ResolutionAdvisor"]
    end

    subgraph Connectors["Ingestion Connectors"]
        GH["GitHub Connector"]
        DOC["Document Connector (PDF/YAML/JSON/MD)"]
        WEB["Website Connector (SSRF Guarded)"]
    end

    subgraph Storage["Storage Layer"]
        DB[(SQLite WAL Mode)]
        Audit["Immutable Audit Trail"]
        Backups["Online Live Backups"]
    end

    Claude --> StdioT
    AGY --> StdioT
    Cursor --> StdioT
    HTTP --> HttpT

    StdioT --> Router
    HttpT --> Router

    Router --> Engine
    Router --> Connectors

    Connectors --> DB
    Engine --> Classifier
    Engine --> Authority
    Engine --> Freshness
    Engine --> Advisor

    Engine --> DB
    DB --> Audit
    DB --> Backups

One-Command Quickstart (All IDEs)

Automatically configure Contradiction MCP into your favorite editor with a single command:

Universal CLI Setup

# Google Antigravity (configured in ~/.gemini/config/mcp_config.json and workspace)
npx -y contradiction-mcp install antigravity

# Cursor IDE (configured in ~/.cursor/mcp.json and workspace)
npx -y contradiction-mcp install cursor

# Claude Desktop App (configured in claude_desktop_config.json)
npx -y contradiction-mcp install claude

# Claude Code CLI (configured in ~/.claude.json & via claude mcp add)
npx -y contradiction-mcp install claude-code

# Windsurf IDE (configured in ~/.codeium/windsurf/mcp_config.json)
npx -y contradiction-mcp install windsurf

# Configure ALL detected IDEs simultaneously
npx -y contradiction-mcp install all

# Or install via Smithery CLI
npx -y @smithery/cli install contradiction-mcp --client claude

Local Setup from Cloned Source

git clone https://github.com/Daksh-create349/Contradiction-MCP.git
cd "Contradiction MCP/contradiction-mcp"
npm install
npm run build

# Automatically configure in your current environment:
npm run install-mcp

# Or target a specific IDE:
node bin/cli.js install [antigravity|cursor|claude|claude-code|windsurf|all]

Manual IDE Client Configuration

If you prefer manual configuration, add the following configuration block to your client settings:

1. Claude Desktop (claude_desktop_config.json)

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "contradiction": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/contradiction-mcp/dist/index.js"],
      "env": {
        "NODE_ENV": "production",
        "DATABASE_PATH": "/ABSOLUTE/PATH/TO/contradiction-mcp/data/contradiction.db",
        "MCP_TRANSPORT": "stdio",
        "LOG_LEVEL": "error"
      }
    }
  }
}

2. Google Antigravity (mcp_config.json)

  • Global: ~/.gemini/config/mcp_config.json
  • Workspace: <workspace-root>/.agents/mcp_config.json
{
  "mcpServers": {
    "contradiction": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/contradiction-mcp/dist/index.js"],
      "env": {
        "NODE_ENV": "production",
        "DATABASE_PATH": "/ABSOLUTE/PATH/TO/contradiction-mcp/data/contradiction.db",
        "MCP_TRANSPORT": "stdio",
        "LOG_LEVEL": "error"
      }
    }
  }
}

3. Cursor IDE (.cursor/mcp.json)

{
  "mcpServers": {
    "contradiction": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/contradiction-mcp/dist/index.js"]
    }
  }
}

4. Streamable HTTP Remote Client

Connect distributed agents or team members to a centralized server daemon:

{
  "mcpServers": {
    "contradiction": {
      "url": "http://localhost:3000/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_SECRET_API_KEY"
      }
    }
  }
}

MCP Interface: 12 Canonical Tools, 4 Resources, 2 Prompts

Contradiction MCP exposes 12 canonical tools engineered to the highest specification standards (Glama Tool Definition Quality Score 5.0 / 5.0 Grade A). Every tool strictly follows verb_noun nomenclature, provides rich typed schemas, and isolates distinct operational domains.

Active Canonical MCP Tools (12)

Tool Name Operational Domain Description Key Arguments
check_health Diagnostics Verifies server runtime health, database connectivity, and active connector health {}
list_sources Discovery Lists registered knowledge sources and connector types with pagination type, limit, offset
test_connection Connectivity Validates credentials, permissions, and network reachability without persisting data type, target, credentials
sync_source Ingestion Unified ingestion engine for files, Markdown, Word (.docx), JSON, URLs, or Git repositories sourceId OR (filePath / url / owner+repo), subject
scan_contradictions Intelligence Scans the knowledge base, a source, or a claim for logical/semantic contradictions sourceId, claimId, limit, minConfidence, includeDismissed
analyze_claim_pair Intelligence Performs pairwise contradiction and contextual relationship analysis between two claims claimIdA, claimIdB
list_claims Knowledge Base Lists extracted factual claims with multi-field filtering and pagination sourceId, subject, predicate, environment, limit, offset
get_claim Knowledge Base Retrieves factual claim details, contextual metadata, and audit supersession history claimId
list_contradictions Lifecycle Queries detected contradictions filtered by lifecycle status, severity, and confidence status, severity, minConfidence, limit, offset
get_contradiction Lifecycle Retrieves full contradiction state, conflicting claims, and contextual explanation contradictionId
advise_resolution Advisory Evaluates source authority, freshness, and evidence quality to recommend canonical truth contradictionId
resolve_contradiction Resolution Executes lifecycle transitions (REVIEW, RESOLVE, DISMISS, REOPEN) with audit trail contradictionId, action, actor, reason, canonicalClaimId

[!TIP]
Full Backwards Compatibility: Legacy tool names (health_check, sync_document, sync_website, sync_github_repository, scan_for_contradictions, scan_claim_for_contradictions, scan_source_for_contradictions, explain_claim_relationship, review_contradiction, dismiss_contradiction, reopen_contradiction, get_contradiction_history, get_claim_history, list_connectors, test_github_connection, sync_sources) continue to function without error via automatic request routing and parameter translation.

Active MCP Resources (4)

  • health://metrics — Static snapshot of uptime, tool invocations, and contradiction tallies.
  • contradiction://{id} — Dynamic resource returning live contradiction state for a specific ID.
  • claim://{id} — Dynamic resource returning factual claim details, context, and provenance.
  • source://{id} — Dynamic resource returning source metadata, type, and trust score.

Active MCP Prompts (2)

  • investigate_contradiction — Interactive prompt guiding contradiction investigation, context analysis, and resolution.
  • review_source_consistency — Agent prompt guiding systematic cross-source consistency audits.

Example Tool Payloads & Responses

1. Ingesting a Document (sync_source / legacy: sync_document)

Request:

{
  "filePath": "/tmp/deployment_spec.json",
  "subject": "api-server",
  "scope": "deployment",
  "environment": "production",
  "sourceRole": "deployment"
}

Response:

{
  "success": true,
  "sourceId": "76be8d2f-1e3b-48fd-922f-1b499251ac2b",
  "claimsCreated": 2,
  "claimsUpdated": 0
}
2. Scanning for Contradictions (scan_contradictions / legacy: scan_for_contradictions)

Request:

{}

Response:

{
  "status": "completed",
  "claimsScanned": 4,
  "candidatePairs": 2,
  "contradictionsFound": 1,
  "contradictions": [
    {
      "contradictionType": "VERSION_MISMATCH",
      "severity": "HIGH",
      "confidence": 1.0,
      "explanation": "Both claims describe the node_version for 'api-server'. However, architecture_guide.md reports '18.0.0' while deployment_spec.json reports '22.0.0'. Classified as VERSION_MISMATCH with HIGH severity.",
      "priorityScore": 0.93,
      "contradictionId": "2f1691be-9c1f-4e93-a86a-ef0c0ba54f9d"
    }
  ]
}
3. Resolution Advice (advise_resolution)

Request:

{
  "contradictionId": "2f1691be-9c1f-4e93-a86a-ef0c0ba54f9d"
}

Response:

{
  "recommendedClaimId": "a779fa4b-c680-482c-8f31-daf470aaaab7",
  "recommendedValue": "22.0.0",
  "confidenceScore": 0.88,
  "reasoning": "Claim B represents a higher-confidence candidate for current truth because it carries higher operational authority (0.85 vs 0.65) as deployment configuration and is equally fresh.",
  "authorityScoreA": 0.65,
  "authorityScoreB": 0.85
}

Step-by-Step Hands-On Tutorial

Tutorial: Detecting Real Document Contradictions in 30 Seconds

cd contradiction-mcp

# 1. Create two contradictory specifications for the same service:
cat << 'EOF' > /tmp/deployment_spec.json
{
  "node_version": "22.0.0",
  "database": "postgres-16"
}
EOF

cat << 'EOF' > /tmp/architecture_guide.md
# Architecture Guide
node_version: 18.0.0
database: postgres-14
EOF

# 2. Run test script to ingest and scan via Stdio MCP client:
npx tsx -e '
import { StdioClientTransport } from "@modelcontextprotocol/client/stdio";
import { Client } from "@modelcontextprotocol/client";

async function main() {
  const client = new Client({ name: "tester", version: "1.0.0" }, { capabilities: {} });
  await client.connect(new StdioClientTransport({ command: "node", args: ["dist/index.js"] }));

  // Ingest Deployment Spec (canonical: sync_source, role: deployment)
  await client.callTool({
    name: "sync_source",
    arguments: { filePath: "/tmp/deployment_spec.json", subject: "api-server", sourceRole: "deployment", environment: "production" }
  });

  // Ingest Architecture Guide (canonical: sync_source, role: documentation)
  await client.callTool({
    name: "sync_source",
    arguments: { filePath: "/tmp/architecture_guide.md", subject: "api-server", sourceRole: "documentation", environment: "production" }
  });

  // Automatically scan knowledge base (canonical: scan_contradictions)
  const scan = await client.callTool({ name: "scan_contradictions", arguments: {} });
  console.log("\nDISCOVERED CONTRADICTIONS:\n", JSON.stringify(JSON.parse(scan.content[0].text), null, 2));

  await client.close();
}
main();
'

Complete Command Reference

Command Description
npm run build Compiles TypeScript and packages SQL migration scripts
npm start Launches compiled production server (node dist/index.js)
npm run dev Runs development server with on-the-fly TypeScript execution
npm test Runs complete Vitest test suite (181 tests across 25 files)
npm run test:coverage Generates detailed V8 code coverage report
npm run verify Runs all 62 end-to-end verification gates (protocol, security, heuristics)
npm run demo Executes live 17-step end-to-end demonstration scenario
npm run smoke Launches compiled server and verifies real MCP Stdio connectivity
npm run live-test Runs stdio smoke tests followed by Streamable HTTP integration suite
npm run typecheck Validates TypeScript static typing (tsc --noEmit) with 0 errors
npm run lint Lints codebase with ESLint 9 Flat Config (0 errors, 0 warnings)
npm run format:check Verifies code formatting against Prettier
npm run format Auto-formats all code using Prettier
npm run install-mcp Automatically configures MCP settings across Antigravity, Cursor, and Claude
npm run migrate Executes pending SQLite database schema migrations
npm run seed Seeds database with realistic demonstration claims and sources
npm run backup Creates zero-downtime online SQLite backup in backups/
npm run restore <path> Restores database from a designated backup archive
npm run health Queries system health status and outputs operational JSON
npm run security:check Runs npm audit to inspect dependency security vulnerabilities

Environment Variables

Variable Default Description
NODE_ENV development Runtime mode: development, test, or production
DATABASE_PATH ./data/contradiction.db Path to SQLite database file or :memory:
MCP_TRANSPORT stdio Transport mode: stdio or http
HTTP_PORT 3000 Port for Streamable HTTP server when MCP_TRANSPORT=http
HTTP_HOST 127.0.0.1 Binding address for HTTP daemon (DNS rebinding guarded)
API_KEY (optional) Secret bearer token required for HTTP authentication
GITHUB_TOKEN (optional) Personal Access Token to prevent GitHub API rate limits
LOG_LEVEL error Logging level: debug, info, warn, error
ALLOWED_ROOTS . Comma-separated directory paths permitted for file ingestion
MAX_FILE_SIZE_BYTES 10485760 (10MB) Maximum file size allowed for document ingestion
RATE_LIMIT_MAX 100 Maximum requests permitted per sliding time window
RATE_LIMIT_WINDOW_MS 60000 (1 min) Sliding rate limiter window in milliseconds

Docker & Container Deployment

Run with Docker

# Build production container (multi-stage, non-root user):
docker build -t contradiction-mcp:latest .

# Run container with persistent data volume:
docker run -d \
  --name contradiction-mcp \
  -p 3000:3000 \
  -v contradiction-data:/app/data \
  -e MCP_TRANSPORT=http \
  -e HTTP_PORT=3000 \
  contradiction-mcp:latest

Run with Docker Compose

docker compose up -d
docker compose ps
docker compose logs -f

Release History

v0.3.1 (2026-09-15)

  • Security & Extraction Hardening: Replaced shell string execution in DocumentConnector with safe execFileSync, eliminating command injection vectors in .docx processing.
  • Website Connector Redirect Safety: Enforced a strict maximum of 5 HTTP redirects to prevent unbounded redirect loops and guaranteed timeout cleanup on all fetch error paths.
  • Authority & Specification Role Scoring: Added 'specification' and 'deployment' to standard claim source roles with a dedicated authority score of 0.75 in AuthorityScorer, preventing specification claims from falling into low-confidence fallbacks.
  • Evidence Metadata Alignment: Aligned connector provenance metadata (lineRange, evidence) with EvidenceEvaluator and AuthorityScorer schema expectations to accurately quantify citation directness and snippet quality.
  • Deterministic Resolution Tie-Breaking: Enhanced ResolutionAdvisor to evaluate evidence quality as a deterministic tie-breaker before falling back to 'uncertain'.
  • Environment Disjointness Heuristics: Expanded ContextAnalyzer environment comparison to recognize non-overlapping tiers (development, staging, testing, production, deployment, ci), eliminating false-positive contradiction flags across distinct environments.
  • Comma-Formatted Numeric Normalization: Stripped comma separators in ValueComparator (isLikelyNumber, normalizeQuantity, compareNumbers) so formatted numbers (e.g., "5,000") compare accurately against integer values.
  • Deterministic Database Pagination: Added SQL OFFSET support and primary key tie-breakers (ORDER BY created_at DESC, id ASC) across listSources, listClaims, and listContradictions queries.
  • Server Tool Delegation Fixes: Delegated test_connection to registered connector implementations and forwarded pagination offsets and sync metadata.
  • Expanded Regression Suite: Added dedicated regression test suite (tests/bugfixes.test.ts), raising test coverage to 181 passing tests across 25 suites.

v0.3.0 (2026-09-14)

  • 12 Canonical Tools Architecture: Streamlined tool interface into 12 orthogonal, strictly typed verb_noun tools (check_health, list_sources, test_connection, sync_source, scan_contradictions, analyze_claim_pair, list_claims, get_claim, list_contradictions, get_contradiction, advise_resolution, resolve_contradiction).
  • Zero-Breaking Backwards Compatibility Routing: Added a transparent request router shim ensuring all legacy tool names continue to function seamlessly with argument translation.
  • Enhanced OpenXML (.docx) Ingestion: Direct extraction of table structures (<w:tr>, <w:tc>) as key-value assertions with XML stripping to eliminate duplicate claims.
  • Multi-Format Cross-Document Consistency: Verified cross-referencing and contradiction discovery across Markdown runbooks, JSON configs, and Word architecture documents.
  • Parametric Claim Queries: Extended SQLite database layer with multi-field filtering (predicate, environment, valueType, limit, offset).

v0.2.1 (2026-09-14)

  • 22 Active MCP Tools: Full interface alignment including scan_source_for_contradictions for targeted source discovery.
  • Section Heading Namespacing in Markdown: Hierarchical markdown headings (## to ######) namespace nested properties (e.g. ### API Gateway $\rightarrow$ api_gateway_port), preventing intra-document collisions while matching nested JSON configurations.
  • Precision Predicate Similarity Guard: Enhanced claimMatcher requiring $\ge 50%$ token overlap on multi-token phrases, eliminating false matches between distinct properties sharing generic suffixes (node_version vs cache_version, runtime_node_version vs runtime_python_version).
  • Scoped JSON Extraction: Streamlined flattenJsonObject to emit unique composite paths, avoiding leaf key duplication explosions.
  • Numeric Claim Validation: Excluded valid single-digit numbers (4, 3) from short-value extraction warnings.
  • Multi-Format Ingestion: End-to-end verified across Markdown, JSON, OpenXML .docx, and Kubernetes manifests.

v0.2.0 (2026-09-13)

  • Initial public release with 21 core MCP tools, SQLite WAL persistence, GitHub, Document, and Website ingestion connectors.

Documentation Index


License

This project is licensed under the MIT License.

MIT License
Copyright (c) 2026 Daksh Srivastava and Contradiction MCP Contributors

Free and open-source software — you are free to use, modify, distribute, sublicense, and deploy Contradiction MCP in personal and commercial environments.

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