MCP based Pocket Agent in vector db ( chroma) as storage
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"pocket-agent-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Pocket Assistant MCP Server A Model Context Protocol (MCP) server that provides pocket assistance capabilities with ChromaDB vector storage. This server enables AI assistants to save, retrieve, and manage research content efficiently using vector embeddings. ## Features - **Vector Storage**: Uses ChromaDB for efficient storage and retrieval - **Topic Organization**: Organize research content by topics - **Deduplication**: Automatic content deduplication using hashing - **Semantic Search**: Query research content using natural language - **Multiple Topics**: Manage multiple research topics simultaneously - **OpenAI Embeddings**: Uses OpenAI's text-embedding-3-small model ## Installation ### Using uvx (Recommended) ```bash uvx pocket-agent-mcp ``` ### Using uv ```bash uv pip install pocket-agent-mcp ``` ### Using pip ```bash pip install pocket-agent-mcp ``` ### From Source ```bash git clone https://github.com/VikashS/pocket_agent_mcp.git cd pocket-agent-mcp uv pip install -e . ``` ## Configuration ### Environment Variables Required: - `OPENAI_API_KEY` - Your OpenAI API key for embeddings - `RESEARCH_DB_PATH` - Base path for storing research databases - A `pocket_chroma_dbs` directory will be created inside this path - Example: `/path/to/data` (will create `/path/to/data/pocket_chroma_dbs`) - Example: `~/.pocket-agent-mcp` (will create `~/.pocket-agent-mcp/pocket_chroma_dbs`) Create a `.env` file with your configuration: ```bash OPENAI_API_KEY=your-api-key-here RESEARCH_DB_PATH=/path/to/data ``` ### Claude Desktop Configuration **MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "research-assistant": { "command": "uvx", "args": ["pocket-agent-mcp"], "env": { "OPENAI_API_KEY": "your-api-key-here", "POCKET_DB_PATH": "/path/to/data" } } } } ``` Note: Both `OPENAI_API_KEY` and `POCKET…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.