# MCP Knowledge Base

> Use this tool when you need to efficiently manage and retrieve knowledge from large collections of text and PDF documents. It solves problems related to information overload and knowledge discovery by providing automatic chunking, vector storage, and similarity retrieval capabilities. The MCP Knowledge Base accepts text and PDF documents as input and outputs relevant information, making it ideal for use cases where AI assistants require direct access to knowledge management functions.

Canonical page: https://skillsregistry.net/skills/july090-mcp  
JSON: https://api.skillsregistry.net/v1/skills/july090-mcp

## Description

A local knowledge base system based on ChromaDB that supports automatic chunking, vector storage, and efficient similarity retrieval of txt and pdf documents, with MCP protocol support allowing AI assistants to directly access knowledge management functions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vslf56wep2)
- **Repository:** <https://github.com/july090/mcp>

## 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": "july090-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/july090-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/july090-mcp/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