agent-web-search

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SUMMARY

One web-search tool for AI agents with free keyless defaults, local/remote MCP, CLI, Python, and Hermes.

README.md

Agent Web Search

One web-search core for AI agents, backed by multiple independent providers.

English | 简体中文

Python 3.10+
PyPI
CI
MCP 2.x
License: MIT

One-click remote MCP

Deploy with Vercel Deploy on Railway Deploy to Render Deploy on Zeabur

Works with Codex CLI, Claude Code, OpenCode, Hermes, ordinary
shell scripts, Python applications, and remote Streamable HTTP MCP clients.

Use with an agent · Providers ·
Shared interface · Configuration ·
Other interfaces · Troubleshooting ·
Architecture · Development


Agent Web Search gives an agent two ways to reach the same provider-neutral
search core: a native MCP tool, or a CLI taught through a standard Agent Skill.
Both dispatch enabled providers concurrently, normalize them into one schema,
and isolate provider failures.

Agent ──┬── MCP client ────── web_search ──┐
        │                                  │
        └── Shell + Skill ── CLI command ──┤
                                           ▼
                                      SearchEngine
                                           │
                     DDGS · Exa · Parallel · ARK · Brave
                     Gemini · Grok · Perplexity · Tavily · You.com

Why Agent Web Search

  • Concurrent, independent providers. All selected providers run at the same
    time, and one provider's failure never discards another provider's results.
  • Zero-key start. The default providers — DDGS, Exa, and Parallel — work
    without any API key.
  • Two clean agent integrations. Use MCP for a protocol-native tool, or pair
    the CLI with the included Skill for agents that already have shell access.
  • Focused responses. Every provider response contains only a generated
    answer when available and normalized results.
  • No telemetry, no shared secrets. Provider keys stay in runtime
    environment variables; there is no shared API-key service.

Providers

Free, keyless defaults: DDGS, Exa, and Parallel all work without an API
key. Exa and Parallel automatically use their free MCP transports until a
paid API key is provided.

Provider Search backend API key Enabled by default
DDGS DuckDuckGo search Free · no key required Yes
Exa Paid Search API or free MCP fallback Free without key · optional EXA_API_KEY Yes
Parallel Free MCP or paid LLM-optimized search Free without key · optional PARALLEL_API_KEY Yes
ARK (Recommended) Volcengine ARK Responses API + web_search ARK_API_KEY No
Brave Brave Search API BRAVE_SEARCH_API_KEY No
Gemini Google Search grounding GEMINI_API_KEY No
Grok xAI web search and X Search XAI_API_KEY No
Perplexity Native structured Search API PERPLEXITY_API_KEY No
Tavily Tavily Search API TAVILY_API_KEY No
You.com Unified web and news search YDC_API_KEY No

The provider architecture is intentionally open: another search-capable
backend can be added without changing the MCP, Hermes, CLI, or Python-facing
interfaces.

Use with an agent

Requirements: Python 3.10+. The default providers — DDGS, Exa, and
Parallel — need no API key. Choose one integration shape for your agent; both
use the same package and search engine. The PyPI package installs both
agent-web-search-mcp and agent-web-search commands.

Option 1: MCP

Choose MCP when the agent supports tool servers and you want typed discovery,
protocol-level errors, or remote access. The same agent-web-search-mcp
command supports local stdio and stateless Streamable HTTP.

Local stdio MCP

Install the package once:

# Recommended isolated installation
pipx install agent-web-search-mcp

# Or install into the active Python environment
python -m pip install agent-web-search-mcp

Then configure the MCP client to launch agent-web-search-mcp:

{
  "mcpServers": {
    "agent-web-search": {
      "command": "agent-web-search-mcp",
      "args": []
    }
  }
}

If uvx is already available, a client can run the package without a
persistent install by using command uvx with args ["agent-web-search-mcp"].

Codex CLI, Claude Code, and OpenCode examples
# Codex CLI
codex mcp add agent-web-search -- agent-web-search-mcp

# Claude Code
claude mcp add agent-web-search -- agent-web-search-mcp

OpenCode:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agent-web-search": {
      "type": "local",
      "command": ["agent-web-search-mcp"],
      "enabled": true
    }
  }
}

Remote MCP over HTTPS

Use one of the deployment buttons at the top of this README, or run the same
server yourself:

python -c "import secrets; print(secrets.token_urlsafe(32))"
export AGENT_WEB_SEARCH_AUTH_TOKEN="replace-with-the-generated-token"
agent-web-search-mcp --transport http

The server exposes authenticated POST /mcp and public GET /healthz. A
remote MCP client connects like this:

{
  "mcpServers": {
    "agent-web-search": {
      "url": "https://your-deployment.example/mcp",
      "headers": {
        "Authorization": "Bearer your-deployment-token"
      }
    }
  }
}

Every public deployment must set AGENT_WEB_SEARCH_AUTH_TOKEN to at least 32
characters. The server is stateless and does not create MCP-Session-Id values.

Option 2: CLI + Skill

Choose this shape when the agent already has shell access and supports Agent
Skills. The Skill teaches the agent how to invoke the CLI, select controls,
interpret results, and handle structured failures; no MCP configuration is
needed.

  1. Install the CLI:

    pipx install agent-web-search-mcp
    # Or: python -m pip install agent-web-search-mcp
    
  2. Install the included agent-web-search Skill:

    npx skills add JerryLiu369/agent-web-search --skill agent-web-search
    

    If the agent does not use the skills installer, copy
    skills/agent-web-search into that client's Skills directory.

  3. Verify the CLI, then let the agent search:

    agent-web-search --version
    agent-web-search "What changed in the latest OpenAI Codex CLI?"
    

The CLI writes one JSON document to stdout on success. If every provider fails,
it writes the shared all_providers_failed JSON to stderr and exits with status
1, so shell-capable agents can distinguish a real failure from empty results.

CLI option MCP argument Values Default
positional QUERY query natural-language question required
--provider (repeatable) providers enabled provider names all enabled
--max-results max_results 1–20 10
--max-keyword max_keyword 1–10 3
--time-range time_range d, w, m, y
--grok-search-mode grok_search_mode web_search, x_search, both web_search
Install the latest development version from GitHub
pipx install 'git+https://github.com/JerryLiu369/agent-web-search.git'

[!IMPORTANT]
Do not place API keys in shell history, source code, Git commits, screenshots,
or checked-in MCP configuration. Supply them through server-side or local
environment variables.

Shared request and response

MCP exposes one tool named web_search; the CLI maps to the same inputs.

Argument Type Required Default Description
query string Yes Complete natural-language search question
max_results integer, 1–20 No 10 Desired maximum number of results
max_keyword integer, 1–10 No 3 Desired maximum number of search queries or keywords
time_range d, w, m, y No Past day, week, month, or year
providers string array No All enabled Narrow the request to enabled providers
grok_search_mode web_search, x_search, both No web_search Available only when Grok is enabled

Example call:

{
  "query": "GPU kernel generation papers from the past month",
  "max_results": 5,
  "time_range": "m",
  "providers": ["ddgs", "exa"]
}

Provider selection has two levels:

  1. AGENT_WEB_SEARCH_PROVIDERS defines the provider set when the process starts.
  2. The request-level providers argument may narrow that set, but cannot enable
    a provider that was disabled at startup.

Response format

Each selected provider that succeeds appears under providers; failed
providers are omitted:

{
  "query": "GPU kernel generation papers from the past month",
  "providers": {
    "ddgs": {
      "results": [
        {
          "title": "Example result",
          "url": "https://example.com/paper",
          "description": "Excerpt of the matching page",
          "published_at": "2026-08-02"
        }
      ]
    }
  }
}
Field Meaning
answer Provider-generated prose answer, when the backend produces one; omitted otherwise
results Result rows: title, url, description, plus optional published_at and author

If every selected provider fails, MCP returns a tool error. The CLI writes the
same payload to stderr and exits with status 1. Both use the stable code
all_providers_failed and include per-provider diagnostics:

{
  "error": {
    "code": "all_providers_failed",
    "message": "All enabled search providers failed. Check provider configuration, credentials, quotas, and network access.",
    "provider_errors": {
      "ddgs": "RuntimeError: rate limited"
    }
  },
  "query": "GPU kernel generation papers from the past month"
}

Python API

The CLI, MCP servers, and Hermes plugin are thin wrappers around
agent_web_search.SearchEngine, which is the public Python API.
SearchRequest accepts the same fields as the MCP tool arguments:

from agent_web_search import SearchEngine, SearchRequest

engine = SearchEngine()  # reads AGENT_WEB_SEARCH_* variables at construction

response = engine.search(
    SearchRequest(query="latest MCP spec changes", max_results=5, time_range="m")
)

for name, provider in response.providers.items():
    print(f"{name}: searched={provider.searched}, results={len(provider.results)}")

if response.all_providers_failed:
    print(response.failed_provider_errors)

Configuration

Configuration is read from environment variables when the CLI, MCP server, or
Hermes plugin starts. Restart the process after changing provider settings.
See .env.example for a commented template of every variable.

General settings

Variable Default Purpose
AGENT_WEB_SEARCH_PROVIDERS ddgs,exa,parallel Comma-separated startup-enabled provider set
AGENT_WEB_SEARCH_TIMEOUT 60 Socket timeout for a single upstream HTTP call. Multi-step providers multiply it: keyless Parallel makes up to 3 calls (worst case 3×), ARK may append a continuation call (worst case 2×), so the whole search can take up to 3 × this value

Example:

export AGENT_WEB_SEARCH_PROVIDERS="ddgs,exa,brave"
export AGENT_WEB_SEARCH_TIMEOUT="30"
$env:AGENT_WEB_SEARCH_PROVIDERS = "ddgs,exa,brave"
$env:AGENT_WEB_SEARCH_TIMEOUT = "30"

HTTP transport settings

Variable Default Purpose
AGENT_WEB_SEARCH_MCP_TRANSPORT stdio stdio or http; --transport may override it
AGENT_WEB_SEARCH_HTTP_HOST 0.0.0.0 HTTP bind host for container deployments
AGENT_WEB_SEARCH_HTTP_PORT PORT or 8000 HTTP bind port; explicit value overrides platform PORT
AGENT_WEB_SEARCH_AUTH_TOKEN Required HTTP Bearer Token, at least 32 characters
AGENT_WEB_SEARCH_ALLOW_ANONYMOUS false Explicitly disables HTTP auth for trusted/demo environments
AGENT_WEB_SEARCH_HTTP_ALLOWED_HOSTS Optional comma-separated Host allowlist
AGENT_WEB_SEARCH_HTTP_ALLOWED_ORIGINS Optional comma-separated Origin allowlist; requires allowed hosts
AGENT_WEB_SEARCH_HTTP_LOG_LEVEL info Uvicorn log level for the container server

HTTP settings remain environment-only; the deployment files do not introduce
a second application configuration format.

Provider settings

Default providers are listed first; optional providers then follow alphabetical
order.

1. DDGS

DDGS uses DuckDuckGo and requires no API key or provider-specific environment
variables. The ddgs Python dependency is installed with the package.

2. Exa

Exa supports both paid and keyless modes.

Variable Required Purpose
EXA_API_KEY No Uses the paid Search API when present
EXA_MCP_URL No Overrides the free MCP endpoint when no API key is set

Without EXA_API_KEY, Exa falls back to its free MCP endpoint on a best-effort
basis. The paid API generally provides higher quota and reliability.

3. Parallel

Parallel returns information-dense excerpts ranked for LLM context. One
parallel provider automatically selects its transport:

  • Without a key, it uses Parallel's free Search MCP.
  • With PARALLEL_API_KEY, it uses the paid Search REST API.

Both transports map excerpts into the common result description, so the
calling agent does not need to distinguish parallel-free from parallel.

Variable Required Purpose
PARALLEL_API_KEY No Enables the paid API; omit it to use the free MCP

Parallel is enabled by default and its key is optional.

4. ARK (Recommended)

Volcengine ARK uses model-backed search grounding through the Responses API.
Add ark to AGENT_WEB_SEARCH_PROVIDERS after providing the key.

Variable Required Purpose
ARK_API_KEY Yes One key, or multiple comma/newline-separated keys
AGENT_WEB_SEARCH_ARK_MODELS No Comma/newline-separated ARK model IDs

One model stays fixed; multiple models are selected round-robin for successive
requests. When multiple ARK keys are configured, a key is selected per request.

Optional Volcengine collaboration rewards information

Agent Web Search does not require participation in a rewards program. ARK users
may optionally review the official
Volcengine Collaboration Rewards Program.
Quota, supported models, validity periods, and data-authorization terms can
change. Check the official terms before opting in. Participation is not
required to use Agent Web Search.

5. Brave

Variable Required Purpose
BRAVE_SEARCH_API_KEY Yes Brave Web Search API credential

Add brave to AGENT_WEB_SEARCH_PROVIDERS after providing the key.

6. Gemini

Variable Required Purpose
GEMINI_API_KEY Yes Google AI API credential
AGENT_WEB_SEARCH_GEMINI_MODELS No Comma/newline-separated Gemini model IDs

Gemini maps common result and time controls into best-effort prompt
constraints. One configured model stays fixed; multiple models are selected
round-robin for successive requests.

7. Grok

Variable Required Purpose
XAI_API_KEY Yes xAI API credential
AGENT_WEB_SEARCH_GROK_MODELS No Comma/newline-separated Grok model IDs

One configured model stays fixed; multiple models are selected round-robin for
successive requests.

When Grok is enabled, the public tool schema adds grok_search_mode:

  • web_search searches the web.
  • x_search searches X with native date filters when available.
  • both exposes both server-side tools in one request and lets Grok choose; it
    does not issue two independent model requests.

8. Perplexity

This provider uses Perplexity's native structured Search API. It returns result
rows rather than a Sonar-generated prose answer; OpenRouter compatibility is
intentionally outside this provider's scope.

Variable Required Purpose
PERPLEXITY_API_KEY Yes Perplexity Search API credential

Add perplexity to AGENT_WEB_SEARCH_PROVIDERS after providing the key.

9. Tavily

Variable Required Purpose
TAVILY_API_KEY Yes Tavily Search API credential

Add tavily to AGENT_WEB_SEARCH_PROVIDERS after providing the key.

10. You.com

You.com returns unified web and news sections. Agent Web Search merges both,
deduplicates URLs, and applies max_results to the combined result list.

Variable Required Purpose
YDC_API_KEY Yes You.com Search API credential

Add you to AGENT_WEB_SEARCH_PROVIDERS after providing the key.

Common search controls

Each provider maps the shared controls to its native API when possible and
ignores unsupported controls.

Provider max_results max_keyword time_range
DDGS Native max_results Ignored Native timelimit
Exa Native result count Ignored Native publish date
Parallel REST: native max_results; keyless MCP: client-side truncation (results[:max_results]) Ignored Ignored
ARK Native limit Native Prompt constraint
Brave Native count Ignored Native freshness
Gemini Prompt constraint Prompt constraint Prompt constraint
Grok Prompt constraint Prompt constraint Prompt; X Search also uses native dates
Perplexity Native max_results Ignored Native recency filter
Tavily Native max_results Ignored Native time_range
You.com Native count, combined cap Ignored Native freshness

Prompt-based controls are best-effort and are not strict guarantees.

Other interfaces

Native Hermes plugin

Install the native plugin directly from GitHub:

pip install 'ddgs>=9.0'
hermes plugins install JerryLiu369/agent-web-search --no-enable
hermes plugins enable agent-web-search --allow-tool-override

The plugin intentionally replaces Hermes' built-in web_search tool, so the
explicit --allow-tool-override grant is required. Start a new Hermes session
after enabling it; restart the gateway when using a messaging channel.

Hermes can also connect through its generic MCP integration instead of the
native plugin.

Troubleshooting

  • all_providers_failed — every selected provider errored. MCP marks the
    call as an error; the CLI writes diagnostics to stderr and exits 1. Check
    keys, quotas, and network access. A single retry may help a transient limit.
  • agent-web-search is not found — install the PyPI package with pipx or
    pip, then start a new shell so its scripts directory is on PATH.
  • HTTP 401 invalid_token — the Authorization: Bearer … header must
    match AGENT_WEB_SEARCH_AUTH_TOKEN, which must be at least 32 characters.
  • A provider is missing from a response — failed providers are omitted
    from successful responses. The Python API exposes the reasons in
    response.failed_provider_errors.
  • Provider changes have no effect — provider settings are read once at
    startup; restart the CLI, MCP server, or Hermes plugin after changing them.
  • MCP client times out before the tool returns
    AGENT_WEB_SEARCH_TIMEOUT bounds a single upstream HTTP call, not the
    whole search. Keyless Parallel issues up to 3 calls and ARK may append a
    continuation request, so the worst case is 3 × AGENT_WEB_SEARCH_TIMEOUT;
    configure your MCP client's tool timeout accordingly.

Development

Using uv keeps the development environment
isolated and reproducible:

git clone https://github.com/JerryLiu369/agent-web-search.git
cd agent-web-search
uv venv
uv pip install -e '.[dev]'
uv run pytest -q
uv run ruff check .
Standard venv + pip alternative
python -m venv .venv
# Linux/macOS: source .venv/bin/activate
# Windows PowerShell: .venv\Scripts\Activate.ps1
python -m pip install -e '.[dev]'
pytest -q
ruff check .

ARCHITECTURE.md is the design source of truth, and
AGENTS.md lists the non-negotiable invariants. Read both before
changing transports, configuration, authentication, deployment, providers, or
tool schemas, keep stdio and HTTP behavior identical, and keep pytest and
ruff green in the same change.

License

MIT

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