MCP Catalogs
Home

openrouter-deep-research-mcp

by wheattoast11·50·Score 47

Multi-agent research MCP server with async agents, semantic search, and persistent knowledge base.

ai-llmknowledge-graphdeveloper-tools
11
Forks
4
Open issues
2 mo ago
Last commit
2d ago
Indexed

Overview

OpenRouter Agents MCP Server is a production-ready platform that orchestrates a network of asynchronous AI agents to conduct consensus-backed research. It features an indexed PGlite database built in WebAssembly, hybrid search capabilities, SQL execution, and sophisticated agent communication protocols. The server supports both HTTP and STDIO transport modes and includes advanced features like embedding-based model routing, session management, and knowledge graph exploration.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Deep research with multiple specialized agents
you:Knowledge management and semantic search
you:AI-powered content synthesis and analysis
you:What models are supported?
you:How does the multi-agent research work?

When to choose this

Choose this MCP server when you need sophisticated multi-agent research capabilities with persistent knowledge storage and advanced semantic search features.

When NOT to choose this

Don't choose this if you need a lightweight research tool without the complexity of multiple agents or if you prefer open-source models over commercial APIs.

Tools this server exposes

12 tools extracted from the README
  • research

    Async research that returns a job ID

  • conduct_research

    Synchronous research with streaming results

  • batch_research

    Parallel batch queries for multiple research topics

  • search

    Hybrid BM25+vector search across the knowledge base

  • retrieve

    Retrieve data from index or perform SQL query

  • query

    SQL SELECT query with parameters

  • graph_traverse

    Explore the knowledge graph connections

  • graph_clusters

    Find node clusters in the knowledge graph

  • list_rails

    List rails, tunnels, routes, and consensus sessions

  • ping

    Health check for the server

  • get_server_status

    Get full server diagnostics and status

  • list_tools

    List all available tools on the server

Comparable tools

swarmai-mcpresearch-assistant-mcpdeep-research-agent

Installation

Install with npm:

npx @terminals-tech/openrouter-agents --stdio

For Claude Desktop, add to config file:

{
  "mcpServers": {
    "openrouter-agents": {
      "command": "npx",
      "args": ["@terminals-tech/openrouter-agents"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-..."
      }
    }
  }
}

FAQ

What models are supported?
Supports both high-cost models (Claude, GPT-5, Gemini 3) and low-cost models (Gemini Flash, Claude Haiku) with embedding-based routing for optimal selection.
How does the multi-agent research work?
The system decomposes complex queries into sub-queries, assigns them to specialized agents, and synthesizes results through consensus-based protocols with proper citation.

Compare openrouter-deep-research-mcp with

GitHub →

Last updated · Auto-generated from public README + GitHub signals.