hermes-platform-mcp

hermes-platform-mcp

Bridges Hermes Agent to the Hermes Intelligence Platform API, enabling tools to read/write learning loop data (context, feedback, signals, memory, etc.) via stdio.

Category
Visit Server

README

hermes-platform-mcp

A thin MCP bridge that connects Hermes Agent (Nous Research) to the Hermes Intelligence Platform learning API (/api/v1/agent/*). It owns no data — every tool call is forwarded over HTTP to the platform.

Why this exists

The Signal Scout cron agents used to only write_file markdown briefs into the vault and read nothing back at runtime. This bridge gives agents first-class tools to pull the live learning loop (context pack, feedback, examples, memory), push structured findings (signal_submit, memory_save), and answer questions about platform data (signals_get, briefs_get, analytics_get) — the last three power the platform's /chat.

Where this fits

flowchart LR
    Gw["Hermes Gateway :8642\n(always-on)"] -->|"spawns per session\n(3 mcp_servers entries)"| Bridge
    Cron["Cron jobs\n(Reddit / X scouts)"] -.->|via gateway| Gw
    subgraph Bridge["hermes-platform-mcp (this repo)"]
        Srv["server.mjs\none stdio process per session"]
    end
    Bridge -->|"HTTP, Bearer hip_...\n/api/v1/agent/*"| Platform["Hermes Intelligence Platform\n:3050"]

    classDef gateway fill:#AB47BC,stroke:#6A1B9A,color:#ffffff,stroke-width:2px;
    classDef bridge fill:#26A69A,stroke:#00695C,color:#ffffff,stroke-width:2px;
    classDef platform fill:#42A5F5,stroke:#1565C0,color:#ffffff,stroke-width:2px;
    classDef agent fill:#7E57C2,stroke:#4527A0,color:#ffffff,stroke-width:2px;

    class Gw gateway;
    class Srv bridge;
    class Platform platform;
    class Cron agent;

It owns no state and runs no daemon: every process is spawned fresh, bound to one agent identity for its lifetime, and torn down when the session ends.

Transport & auth model

stdio. Hermes Agent spawns one node server.mjs process per session and tears it down when the session ends — there is no standing daemon. Because stdio has no per-request headers, each process is bound to one agent identity via env vars:

  • HIP_API_KEY — the agent's hip_ key (forwarded as the platform bearer; the platform resolves identity + per-agent scoping from it). Required.
  • HIP_PLATFORM — default platform slug (reddit / x) so tool calls can omit it.
  • HIP_BASE_URL — platform base URL (default http://localhost:3050).

So two agents = two mcp_servers entries, each launching the server with its own key (see hermes-config-snippet.yaml).

Tools

Tool Loop stage Maps to
ping GET /ping
context_pack_get read GET /context-pack
feedback_get read GET /feedback
examples_get read GET /examples
memory_search read GET /memory
signals_get read GET /signals
briefs_get read GET /briefs
analytics_get read GET /analytics
memory_save write POST /memory
signal_submit write POST /signals
brief_submit write POST /briefs
signal_status_update write PATCH /signals

Each mcp_servers entry picks its subset via tools.include — the chat entry (hermes_platform) gets reads + memory_save + signal_status_update; the scout entries (hermes_reddit, hermes_x) get reads + signal_submit + memory_save.

A tool call, end to end

%%{init: {'theme':'base', 'themeVariables': {'primaryColor':'#42A5F5','primaryTextColor':'#ffffff','primaryBorderColor':'#1565C0','lineColor':'#5C6BC0','secondaryColor':'#AB47BC','secondaryTextColor':'#ffffff','secondaryBorderColor':'#6A1B9A','tertiaryColor':'#FFCA28','tertiaryTextColor':'#000000','tertiaryBorderColor':'#F57F17','actorBkg':'#42A5F5','actorBorder':'#1565C0','actorTextColor':'#ffffff','actorLineColor':'#5C6BC0','signalColor':'#333333','signalTextColor':'#000000','labelBoxBkgColor':'#FFCA28','labelBoxBorderColor':'#F57F17','labelTextColor':'#000000','noteBkgColor':'#FFF59D','noteBorderColor':'#F9A825','noteTextColor':'#000000','activationBorderColor':'#26A69A','activationBkgColor':'#B2DFDB','sequenceNumberColor':'#000000'}}}%%
sequenceDiagram
    participant Ag as Hermes Agent
    participant Sv as server.mjs (this process)
    participant Pl as Platform :3050

    Ag->>Sv: call tool "signal_submit" {title, external_url, pain_md, ...}
    Sv->>Sv: platformFetch(): attach Bearer HIP_API_KEY,\ndefault platform to HIP_PLATFORM
    Sv->>Pl: POST /api/v1/agent/signals\n(15s timeout via AbortSignal)
    Pl-->>Sv: 201 {id, deduped}
    Sv-->>Ag: tool result (raw JSON passed through)

No business logic lives here — platformFetch() is the only moving part, shared by all 12 tools.

Run (manual debugging only)

Hermes launches this itself; you only run it by hand to test. It speaks MCP over stdin/stdout, so drive it by piping JSON-RPC frames:

HIP_API_KEY=hip_r_... HIP_PLATFORM=reddit ./run.sh   # then type/pipe MCP frames

The old always-on HTTP service (port 3060) and the hermes-platform-mcp.service systemd unit are no longer needed under stdio.

Connect Hermes Agent

Three stdio entries are live in ~/.hermes/config.yaml under mcp_servers: (keys in ~/.hermes/.env): hermes_reddit (HIP_REDDIT_KEY), hermes_x (HIP_X_KEY), and hermes_platform (HIP_CHAT_KEY, cross-platform, used by the platform's /chat). After config changes: /reload-mcp inside Hermes or systemctl --user reload hermes-gateway. Tools appear as mcp_hermes_reddit_* / mcp_hermes_x_* / mcp_hermes_platform_*.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured