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Bluecolumn Memory

bluecolumnconsulting-lgtm/bluecolumn-mcp
authSTDIOregistry active
Summary

Connects Claude or any MCP client to BlueColumn's persistent semantic memory API. Exposes three tools: remember for ingesting text, audio, or documents into long-term storage, recall for querying that memory with natural language and getting synthesized answers with sources, and note for storing lightweight agent observations as vectors. Solves the stateless conversation problem by letting agents maintain context across sessions. Free tier includes 60 minutes of audio processing and 100 queries per month. Reach for this when you need your agent to build up knowledge over time rather than starting fresh every conversation.

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Context.devContext.dev
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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bluecolumn-mcp

MCP server for BlueColumn — persistent semantic memory for AI agents.

Give any MCP-compatible agent (Claude Desktop, LangChain, AutoGen, CrewAI) the ability to remember, recall, and store observations across sessions.

Tools

ToolDescription
rememberIngest text, audio, or documents into persistent memory
recallQuery memory with natural language, get AI-synthesized answer + sources
noteStore lightweight agent observations as searchable vectors

Setup

1. Get your BlueColumn API key

Sign up free at bluecolumn.ai — 60 min audio + 100 queries/month, no credit card required.

2. Install

npm install -g bluecolumn-mcp

3. Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "bluecolumn": {
      "command": "bluecolumn-mcp",
      "env": {
        "BLUECOLUMN_API_KEY": "bc_live_YOUR_KEY"
      }
    }
  }
}

Restart Claude Desktop. Your agent now has persistent memory.

Usage

Once configured, your agent can:

Remember this: our API uses Voyage AI embeddings at 512 dimensions
→ Uses the `remember` tool automatically

What embedding model does our API use?
→ Uses the `recall` tool to query memory

Note: user prefers bullet points over paragraphs
→ Uses the `note` tool for quick observations

Example with LangChain

from langchain_mcp import MCPToolkit

toolkit = MCPToolkit(server_name="bluecolumn")
tools = toolkit.get_tools()
# Tools: remember, recall, note — all backed by BlueColumn

Pricing

PlanPriceAudioQueries
Free$060 min/mo100/mo
Developer$29/mo600 min2,000
Builder$79/mo2,000 min8,000
Scale$249/mo6,000 min20,000

Links

  • bluecolumn.ai
  • API Documentation
  • GitHub
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
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Configuration

BLUECOLUMN_API_KEY*secret

Your BlueColumn API key. Get a free key at https://bluecolumn.ai

Categories
AI & LLM Tools
Registryactive
Packagebluecolumn-mcp
TransportSTDIO
AuthRequired
UpdatedApr 17, 2026
View on GitHub

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