# mcp-project-context-server

> Use this tool when you need to provide large language models (LLMs) with persistent and searchable access to project context, enabling them to retrieve and utilize relevant information such as documentation, architecture decisions, and session notes. This server solves problems of knowledge fragmentation and information loss, streamlining LLM workflows and improving overall project efficiency. It accepts project context as input and outputs searchable, retrievable information, ideal for use cases where LLMs require access to comprehensive project data.

Canonical page: https://skillsregistry.net/skills/darkmatterproductions-mcp-project-context-server  
JSON: https://api.skillsregistry.net/v1/skills/darkmatterproductions-mcp-project-context-server

## Description

A Python MCP server that gives LLMs persistent, searchable access to project context — documentation, architecture decisions, and session notes.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hmfh99zfrh)
- **Repository:** <https://github.com/DarkMatterProductions/mcp-project-context-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "darkmatterproductions-mcp-project-context-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/darkmatterproductions-mcp-project-context-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/darkmatterproductions-mcp-project-context-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt