RAWThink

Persistent memory for AI thinking partnerships: hybrid search and a temporal knowledge graph.

What does this entry provide?

RAWThink is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding RAWThink to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 73/100
Install method: pypi
Repo: ygtalp/rawthink-mcp
Repo updated: Jul 31, 2026

Install command

uvx rawthink-mcp==2.0.1

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Jul 31, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-31T05:48:24.652194Z",
      "publishedAt": "2026-07-31T05:48:24.652194Z",
      "statusChangedAt": "2026-07-31T05:48:24.652194Z"
    }
  },
  "server": {
    "name": "io.github.ygtalp/rawthink-mcp",
    "title": "RAWThink",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "2.0.1",
    "packages": [
      {
        "version": "2.0.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "rawthink-mcp",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "RAWTHINK_VAULT",
            "default": "../vault",
            "description": "Path to the vault directory holding sessions, qnotes and the knowledge graph."
          },
          {
            "name": "MEMORY_FILE_PATH",
            "description": "Path to memory.jsonl. Defaults to <vault>/memory.jsonl."
          },
          {
            "name": "QDRANT_URL",
            "default": "http://localhost:6333",
            "description": "Qdrant server URL."
          },
          {
            "name": "QDRANT_PATH",
            "description": "Set to a directory to run Qdrant embedded instead of via Docker."
          },
          {
            "name": "OLLAMA_URL",
            "default": "http://localhost:11434",
            "description": "Ollama server URL. Without it, retrieval degrades to sparse-only."
          },
          {
            "name": "OLLAMA_MODEL",
            "default": "bge-m3",
            "description": "Embedding model. Changing it requires a full reindex."
          },
          {
            "name": "RAWTHINK_TOOL_PROFILE",
            "default": "full",
            "description": "Which tools to expose: recall (4, read-only), record (5, the write path), or full (17)."
          },
          {
            "name": "RAWTHINK_BM25_STATE",
            "description": "Path to the BM25 state file. Defaults to <vault>/.bm25_state.json."
          },
          {
            "name": "RAWTHINK_LOG_LEVEL",
            "default": "INFO",
            "description": "Log level for diagnostics on stderr."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/ygtalp/rawthink-mcp",
      "source": "github"
    },
    "description": "Persistent memory for AI thinking partnerships: hybrid search and a temporal knowledge graph."
  }
}

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