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    Openrouter Deep Research Mcp

    A multi-agent research MCP server + mini client adapter - orchestrates a net of async agents or streaming swarm to conduct ensemble consensus-backed research. Each task builds its own indexed pglite database on the fly in web assembly. Includes semantic + hybrid search, SQL execution, semaphores, prompts/resources and more

    29 stars
    JavaScript
    Updated Sep 29, 2025
    artificial-intelligence
    deep-research
    gemini-2-5-pro-exp
    gpt5
    llm
    mcp
    mcp-server
    modelcontextprotocol
    openrouter
    pglite
    wasm

    Table of Contents

    • Install
    • What's New (v2.0.0)
    • Configuration
    • Multi-Client Setup
    • Transport Modes
    • Client-Specific Setup
    • Feature Matrix
    • Models (v2.0.0)
    • High-Cost Tier
    • Low-Cost Tier
    • Tools
    • MCP Compliance
    • Architecture
    • Core Abstractions
    • Circuit Breaker
    • Transport (v2.0.0)
    • Links
    • Releasing

    Table of Contents

    • Install
    • What's New (v2.0.0)
    • Configuration
    • Multi-Client Setup
    • Transport Modes
    • Client-Specific Setup
    • Feature Matrix
    • Models (v2.0.0)
    • High-Cost Tier
    • Low-Cost Tier
    • Tools
    • MCP Compliance
    • Architecture
    • Core Abstractions
    • Circuit Breaker
    • Transport (v2.0.0)
    • Links
    • Releasing

    Documentation

    OpenRouter Agents MCP Server

    npm

    MCP Stable

    GitHub

    Production MCP server for multi-agent AI research. Plan, parallelize, synthesize.

    Install

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

    Claude Code one-liner:

    bash
    claude mcp add openrouter-agents -- npx @terminals-tech/openrouter-agents --stdio

    What's New (v2.0.0)

    • MCP SDK 1.27.1 — registerTool/registerPrompt/registerResource APIs, security fixes
    • Zod 4 — Upgraded from Zod 3; z.record() syntax, config schema fixes
    • Express 5 — Upgraded from Express 4; modern path patterns, req.query handling
    • Streamable HTTP — Primary transport (SSE deprecated as legacy fallback)
    • Circuit breaker — Model API fault tolerance with configurable thresholds
    • Embedding-based model routing — Local vector similarity for model selection (no LLM call)
    • Persistent storage — Reports, jobs, knowledge graph persist across sessions by default

    macOS/Node 25 Note: A cosmetic libc++abi: mutex lock failed message may appear on shutdown. This is harmless — data is checkpointed before shutdown. Set DB_AUTO_HEAL=true for in-memory mode (no persistence, no message).

    Full Changelog | Extensions Guide | MCP Compliance Report

    Configuration

    Set OPENROUTER_API_KEY in your environment, then configure via .env or .mcp.json:

    VariableDefaultDescription
    OPENROUTER_API_KEY*required*OpenRouter API key
    OPENROUTER_API_KEYS*(optional)*Comma-separated OpenRouter keys for rotation
    OPENROUTER_KEY_COOLDOWN_MS5000Base cooldown per key after failures
    SERVER_PORT3002HTTP server port
    MODEALLAGENT, MANUAL, or ALL
    EMBEDDING_ROUTING_ENABLEDtrueEnable embedding-based model routing
    INDEXER_ENABLEDtrueEnable knowledge indexing

    Full ENV Reference

    .mcp.json example (team-shareable)

    json
    {
      "mcpServers": {
        "openrouter-agents": {
          "command": "npx",
          "args": ["@terminals-tech/openrouter-agents", "--stdio"],
          "env": {
            "OPENROUTER_API_KEY": "${OPENROUTER_API_KEY}",
            "INDEXER_ENABLED": "true"
          }
        }
      }
    }

    Multi-Client Setup

    Transport Modes

    TransportFlagUse Case
    STDIO(default)MCP clients (Claude, Jan AI, Continue)
    HTTP--httpWeb apps, shared server

    STDIO is the default transport per MCP spec. Use --http explicitly for HTTP mode.

    Client-Specific Setup

    Jan AI

    1. Enable MCP Servers in Settings → Advanced → Experimental

    2. Click + to add server

    3. Configure:

    • Name: openrouter-agents
    • Command: npx
    • Arguments: @terminals-tech/openrouter-agents
    • Environment: OPENROUTER_API_KEY=sk-or-...

    Note: STDIO is now default - no --stdio flag needed.

    Claude Desktop

    Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

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

    Continue / Zed / Other MCP Clients

    Standard MCP config - STDIO is default, no flags needed:

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

    Feature Matrix

    FeatureAll MCP ClientsClaude Code Only
    Core Research Tools✓✓
    Knowledge Base✓✓
    Session/Graph Tools✓✓
    Rail Protocol Tools✓✓
    Slash Commands-✓

    Models (v2.0.0)

    High-Cost Tier

    ModelDomains
    anthropic/claude-sonnet-4.5reasoning, technical, general, creative
    anthropic/claude-opus-4.6reasoning, technical, general, creative
    openai/gpt-5.2-chatreasoning, technical, general
    openai/gpt-5.3-codexcoding, technical, reasoning
    google/gemini-3-pro-previewreasoning, technical, general
    qwen/qwen3-codercoding, editing, technical

    Low-Cost Tier

    ModelDomains
    google/gemini-3-flash-previewcoding, editing, technical
    anthropic/claude-haiku-4.5general, technical, reasoning
    deepseek/deepseek-chat-v3.1general, reasoning, technical, coding
    deepseek/deepseek-v3.2general, reasoning, technical, coding
    openai/gpt-oss-120bgeneral, reasoning, search

    Models are selected via embedding-based routing — query embeddings are matched to model domain profiles without an LLM call.

    Tools

    Research

    ToolDescription
    researchAsync research (returns job_id)
    conduct_researchSync research with streaming
    batch_researchParallel batch queries
    research_follow_upContext-aware follow-up
    agentUnified entrypoint (auto-routes)

    Knowledge Base

    ToolDescription
    searchHybrid BM25+vector search
    retrieveIndex or SQL query
    querySQL SELECT with params
    get_reportGet report by ID
    historyList recent reports

    Session & Graph

    ToolDescription
    undo / redoSession time-travel
    checkpointNamed save points
    fork_sessionCreate alternate timeline
    graph_traverseExplore knowledge graph
    graph_clustersFind node clusters
    graph_pagerankImportance rankings

    Rail Protocol

    ToolDescription
    list_railsList rails, tunnels, routes, consensus
    explain_railDetailed rail/tunnel config
    list_routesAll defined routes
    list_tunnelsActive agent-to-agent tunnels
    list_consensusStreaming consensus sessions

    Utility

    ToolDescription
    pingHealth check
    get_server_statusFull diagnostics
    job_statusCheck async job
    date_timeCurrent timestamp
    calcMath evaluation
    list_toolsAvailable tools

    MCP Compliance

    Compliant with MCP Specification 2025-11-25 (stable, AAIF/Linux Foundation governance).

    FeatureSEPStatus
    JSON-RPC 2.0CoreCompliant
    Tools/Resources/PromptsCoreCompliant
    Task ProtocolSEP-1686Compliant
    Sampling with ToolsSEP-1577Compliant
    ElicitationSEP-1036Compliant
    MCP AppsSEP-1865Compliant
    Enterprise AuthSEP-990Compliant
    Client MetadataSEP-991Compliant

    Full Compliance Report

    Architecture

    code
    User Query
        │
        ▼
    ┌─────────────────┐
    │  Planning Agent  │ ─── Decomposes into sub-queries
    └────────┬────────┘
             │
        ┌────┴────┐
        ▼         ▼
    ┌───────┐ ┌───────┐
    │Agent 1│ │Agent N│ ─── Parallel research (embedding-routed models)
    └───┬───┘ └───┬───┘
        │         │
        ▼         ▼
    ┌─────────────────┐
    │   Synthesizer   │ ─── Consensus + citations (Signal protocol)
    └────────┬────────┘
             │
             ▼
    ┌─────────────────┐
    │  Knowledge Base  │ ─── PGlite + pgvector (persistent)
    └─────────────────┘

    Core Abstractions

    ModulePurpose
    Signal ProtocolInter-agent communication with confidence scoring and consensus
    Rail ProtocolBidirectional channels with backpressure, provenance, tunnels
    Error TaxonomyDeterministic classification with auto-learning and circuit breakers
    Circuit BreakerModel API fault tolerance with configurable thresholds and auto-recovery
    Parameter NormalizationDeclarative alias system (q→query, cost→costPreference)
    RoleShift ProtocolBidirectional server↔client via MCP sampling/elicitation
    Embedding RouterLocal vector-based model selection via @terminals-tech/embeddings

    Circuit Breaker

    Protects against cascading model API failures. Configurable via environment:

    VariableDefaultDescription
    RAIL_CIRCUIT_BREAKERtrueEnable circuit breaker
    RAIL_CIRCUIT_THRESHOLD5Failures before tripping
    RAIL_CIRCUIT_RESET_MS120000Recovery timeout (ms)

    States: closed (normal) -> open (failing, requests rejected) -> half-open (testing recovery).

    Transport (v2.0.0)

    TransportStatusUse Case
    Streamable HTTPPrimaryAll new integrations
    SSEDeprecatedLegacy compatibility only
    STDIODefaultMCP clients (Claude, Jan AI, Continue)

    Links

    • Homepage: terminals.tech
    • npm: @terminals-tech/openrouter-agents
    • GitHub: terminals-tech/openrouter-agents
    • Docs: CLAUDE.md | Tool Patterns | Getting Started

    Releasing

    Releases are automated via release-please:

    1. Push conventional commits to main (e.g. feat:, fix:, chore:)

    2. release-please opens a version-bump PR

    3. Merge the PR → GitHub Release created automatically

    4. npm publish triggers on release via CI

    Manual publish:

    bash
    npm test && npm publish --access public

    ---

    Version: 2.0.0 | MCP SDK: 1.27.1 | MCP Spec: 2025-11-25 | Author: Tej Desai | License: MIT

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