MetaSearchMCP

Open-source metasearch backend for MCP, AI agents, and LLM workflows.

MetaSearchMCP aggregates results from multiple search providers, normalizes them into a stable JSON schema, and exposes both an HTTP API and an MCP server for agent tooling.

Positioning

• MCP-first metasearch backend

• Structured search API for AI pipelines

• Multi-provider search orchestration with deduplication and fallback

• Python FastAPI alternative to browser-first metasearch projects

Related MCP server: Deep Search MCP Server

Why It Exists

Most search aggregators are designed around browser UX: HTML pages, pagination, and interactive result cards. Agents and LLM workflows need a different contract: predictable JSON, stable field names, partial-failure tolerance, and provider-level execution metadata.

MetaSearchMCP is built for that machine-consumable workflow. The design is centered on search orchestration, normalized contracts, and MCP integration.

Core Features

• Concurrent multi-provider aggregation

• Unified result schema for web, academic, developer, and knowledge sources

• Provider-level timeout isolation and partial-failure handling

• Result deduplication across engines

• Provider selection by explicit names or semantic tags such as web, academic, code, and google

• Final result caps for agent-friendly payload sizing

• HTTP API with OpenAPI docs

• MCP server over stdio for Claude Desktop, Cline, Continue, and similar clients

• Configurable provider allowlist via environment variables

Google Support

Google support now includes a direct scraper provider implemented inside this project.

The direct Google implementation uses browser-like requests, consent cookie handling, locale-aware query parameters, and resilient HTML result parsing. It is implemented locally in this repository.

Currently supported Google providers:

Provider priority for /search/google is now google first, then google_serpbase, then google_serper.

Supported Providers

Google

Web Search

Knowledge And Reference

Developer Sources

Academic Sources

Finance Sources

Installation

One-command local install:

python scripts/install.py

Install, run tests, and start the HTTP API:

python scripts/install.py --dev --test --run

Deploy with Docker Compose:

python scripts/install.py --mode docker

The installer creates .env from .env.example when .env does not already exist. Existing .env files are kept unless --force-env is passed.

Manual install:

git clone https://github.com/gefsikatsinelou/MetaSearchMCP
cd MetaSearchMCP
pip install -e ".[dev]"

Or with uv:

uv pip install -e ".[dev]"

Configuration

Copy .env.example to .env and configure any providers you want to enable.

cp .env.example .env

Key settings:

HOST=0.0.0.0
PORT=8000
DEFAULT_TIMEOUT=10
AGGREGATOR_TIMEOUT=15

SERPBASE_API_KEY=
SERPER_API_KEY=
BRAVE_API_KEY=
GITHUB_TOKEN=
STACKEXCHANGE_API_KEY=
REDDIT_CLIENT_ID=
REDDIT_CLIENT_SECRET=
NCBI_API_KEY=
SEMANTIC_SCHOLAR_API_KEY=
ALPHA_VANTAGE_API_KEY=
FINNHUB_API_KEY=

ENABLED_PROVIDERS=
ALLOW_UNSTABLE_PROVIDERS=false
MAX_RESULTS_PER_PROVIDER=10

Running

HTTP API

python -m metasearchmcp.server
# or
metasearchmcp

The API starts on http://localhost:8000.

MCP Server

python -m metasearchmcp.broker
# or
metasearchmcp-mcp

The MCP server communicates over stdio.

Docker

docker build -t metasearchmcp .
docker run --rm -p 8000:8000 --env-file .env metasearchmcp

Or with Compose:

docker compose up --build

HTTP API

POST /search

Aggregate across all enabled providers or a selected provider subset.

curl -X POST http://localhost:8000/search \
  -H "Content-Type: application/json" \
  -d '{
    "query": "rust async runtime",
    "providers": ["duckduckgo", "wikipedia"],
    "params": {"num_results": 5, "max_total_results": 8, "language": "en"}
  }'

You can also narrow providers by tags:

curl -X POST http://localhost:8000/search \
  -H "Content-Type: application/json" \
  -d '{
    "query": "transformer attention",
    "tags": ["academic", "knowledge"],
    "params": {"num_results": 5, "max_total_results": 6}
  }'

When multiple tags are provided, the default behavior is tag_match="any". Set tag_match to "all" when you want providers that satisfy every requested tag:

curl -X POST http://localhost:8000/search \
  -H "Content-Type: application/json" \
  -d '{
    "query": "npm cli argument parser",
    "tags": ["code", "packages"],
    "tag_match": "all",
    "params": {"num_results": 5, "max_total_results": 6}
  }'

num_results controls how many results each provider can contribute. max_total_results caps the final merged response after deduplication.

POST /search/google

Search Google through the configured Google provider chain. If ALLOW_UNSTABLE_PROVIDERS=true, MetaSearchMCP will prefer the direct google provider automatically.

curl -X POST http://localhost:8000/search/google \
  -H "Content-Type: application/json" \
  -d '{"query": "site:github.com rust tokio"}'

To force the direct Google route explicitly:

curl -X POST http://localhost:8000/search/google \
  -H "Content-Type: application/json" \
  -d '{"query": "site:github.com rust tokio", "provider": "google"}'

GET /providers

Return the currently available provider catalog.

The response includes provider descriptions and a tag-to-provider index for quick discovery.

You can filter the catalog by tag:

curl "http://localhost:8000/providers?tag=academic&tag=web"

Use tag_match=all to require every tag instead of the default any-match behavior:

curl "http://localhost:8000/providers?tag=code&tag=packages&tag_match=all"

GET /health

Simple health check endpoint. Returns service status, version, provider count, and the current provider name list.

Response Schema

Every aggregated response includes:

• engine

• query

• results

• related_searches

• suggestions

• answer_box

• timing_ms

• providers

• errors

Every result item includes:

• title

• url

• snippet

• source

• rank

• provider

• published_date

• extra

Example response:

{
  "engine": "metasearchmcp",
  "query": "rust async runtime",
  "results": [
    {
      "title": "Tokio - An asynchronous Rust runtime",
      "url": "https://tokio.rs",
      "snippet": "Tokio is an event-driven, non-blocking I/O platform...",
      "source": "tokio.rs",
      "rank": 1,
      "provider": "duckduckgo",
      "published_date": null,
      "extra": {}
    }
  ],
  "related_searches": [],
  "suggestions": [],
  "answer_box": null,
  "timing_ms": 843.2,
  "providers": [
    {
      "name": "duckduckgo",
      "success": true,
      "result_count": 10,
      "latency_ms": 840.1,
      "error": null
    }
  ],
  "errors": []
}

MCP Tools

MetaSearchMCP exposes these MCP tools:

• search_web

• search_google

• search_academic

• search_github

• compare_engines

• search_finance

• search_code

search_web also accepts optional tags so agents can limit search to categories such as web, academic, code, or google. When multiple tags are present, tag_match="all" requires a provider to satisfy the full set. All search tools accept max_total_results to keep the final payload compact.

Example Claude Desktop config:

{
  "mcpServers": {
    "MetaSearchMCP": {
      "command": "metasearchmcp-mcp",
      "env": {
        "ALLOW_UNSTABLE_PROVIDERS": "true",
        "SERPBASE_API_KEY": "your_key",
        "SERPER_API_KEY": "your_key"
      }
    }
  }
}

Development

pip install -e ".[dev]"
pytest
uvicorn metasearchmcp.server:app --reload

Architecture

The public package is organized around these modules:

• contracts.py: request and response models

• catalog.py: provider discovery and selection

• orchestrator.py: concurrent search execution and response assembly

• merge.py: URL normalization and deduplication

• server.py: FastAPI entrypoint

• broker.py: MCP entrypoint

Legacy module names are kept as compatibility shims for earlier imports.

Roadmap

• Caching and provider-aware query reuse

• Better scoring and ranking signals across providers

• Streaming aggregation responses

• Provider health telemetry

• More first-party API integrations where they improve reliability

License

MIT