Is io.github.ashlesh-t/cognirepo safe to use?

io.github.ashlesh-t/cognirepo has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.ashlesh-t/cognirepo?

io.github.ashlesh-t/cognirepo supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.ashlesh-t/cognirepo do?

io.github.ashlesh-t/cognirepo provides 4 tools: lookup_symbol, get_user_profile, record_error, record_decision. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.ashlesh-t/cognirepo?

io.github.ashlesh-t/cognirepo is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.ashlesh-t/cognirepo actively maintained?

io.github.ashlesh-t/cognirepo is actively maintained — last commit was 0 days ago. It has 13 GitHub stars.

io.github.ashlesh-t/cognirepo

pipx

FAISS, call graph, AST, BM25 — 34 MCP tools for AI agents. 50-80% token reduction. Offline.

13 4 tools GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse, http

4 tools · ~305 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "cognirepo-myproject": {
      "env": {},
      "args": [
        "serve",
        "--project-dir",
        "/abs/path/to/myproject"
      ],
      "command": "cognirepo"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-ashlesh-t-cognirepo)](https://mcppedia.org/s/io-github-ashlesh-t-cognirepo)

Read me

What io.github.ashlesh-t/cognirepo does

mcp-name: io.github.ashlesh-t/cognirepo > Persistent memory and context for any AI tool. Not a chatbot — infrastructure.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'pipx' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

86/100across 5 weighted dimensions

How we score →

0255075100

−14

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked pipx against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

~305 tokens total

Inventory

Resources (1)

last_context

Persistent context file for cross-agent handoff between Claude, Gemini, and Cursor

last_context.json

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.ashlesh-t/cognirepo safe to use?: io.github.ashlesh-t/cognirepo has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.ashlesh-t/cognirepo?: io.github.ashlesh-t/cognirepo supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.ashlesh-t/cognirepo do?: io.github.ashlesh-t/cognirepo provides 4 tools: lookup_symbol, get_user_profile, record_error, record_decision. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.ashlesh-t/cognirepo?: io.github.ashlesh-t/cognirepo is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.ashlesh-t/cognirepo actively maintained?: io.github.ashlesh-t/cognirepo is actively maintained — last commit was 0 days ago. It has 13 GitHub stars.

Similar servers

Others in ai-ml

View all →

Sequential Thinking MCP Server98

Dynamic problem-solving through sequential thought chains

87.9k 1

Memory MCP Server98

Persistent memory using a knowledge graph

87.9k 5

Gpt Researcher95

An autonomous agent that conducts deep research on any data using any LLM providers

28.0k 5

Ruflo95

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

62.3k 4

MCP Security Weekly

Get CVE alerts and security updates for io.github.ashlesh-t/cognirepo and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "cognirepo-myproject": {
      "env": {},
      "args": [
        "serve",
        "--project-dir",
        "/abs/path/to/myproject"
      ],
      "command": "cognirepo"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-ashlesh-t-cognirepo)](https://mcppedia.org/s/io-github-ashlesh-t-cognirepo)

Read me

What io.github.ashlesh-t/cognirepo does

mcp-name: io.github.ashlesh-t/cognirepo > Persistent memory and context for any AI tool. Not a chatbot — infrastructure.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'pipx' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

CogniRepo

mcp-name: io.github.ashlesh-t/cognirepo

Persistent memory and context for any AI tool. Not a chatbot — infrastructure.

lookup_symbol returns file:line very quickly — grep takes 2–8 seconds. On Python repos ≥ 15K LOC, CogniRepo cuts AI coding agent token usage by 50–80% compared to raw file reads — benchmarked on Flask, FastAPI, Celery, and Ansible (1,800+ files). Works with Claude Code, Cursor, and Gemini CLI. Fully offline. No API keys required for indexing or any of the 34 MCP tools.

What it does

Every AI conversation starts from zero. Claude, Cursor, Gemini — none of them remember what you fixed yesterday, which files relate to which features, or what decisions were made last sprint. CogniRepo fixes that.

It sits between your codebase and any AI tool, providing:

Semantic memory — FAISS vector store with sentence-transformer embeddings. Store decisions, docs, architecture notes. Retrieve them with natural language.
Episodic log — append-only event journal. Know what happened before that error.
Knowledge graph — NetworkX DiGraph linking functions, classes, files, imports, inheritance chains, call relationships, and concepts. All queryable.
AST reverse index — O(1) symbol lookup across your entire codebase in any supported language.
User behavior profiling — tracks how you prompt so Claude adapts its response style without you having to re-explain preferences every session.
Error tracking — records errors with prevention hints so Claude avoids repeating the same mistake across sessions.
Session history — persists conversation exchanges so any session can resume where the last one ended.
Architectural summaries — auto-generated on first init; built entirely from the local AST index (no API key needed). File → directory → repo summary tree, embedded into FAISS for semantic search.
Multi-model orchestration — classify query complexity → build context → route to the right model. Claude for deep reasoning, Gemini Flash for quick lookups. All automatic.

Every AI tool that connects gets the same accumulated project knowledge. Memory persists across sessions, across tools, across time.

When to use CogniRepo

Most effective on codebases ≥ 15K LOC. On small repos (< 10K LOC), native file reads are fast enough that the MCP tool schema overhead (~4,100 tokens for 34 tools) takes more than you save. Break-even is roughly 4 tool calls on a medium-sized repo.

CogniRepo vs. claude-context / similar tools:

Feature	CogniRepo	claude-context / similar
Pure code retrieval	✓ (FAISS + graph + AST)	✓ Often faster on first use
Episodic memory (what happened last sprint)	✓ Persistent BM25 + vector	✗
Cross-agent handoff (Claude → Gemini → Cursor)	✓ `last_context.json` shared	✗
User behaviour profile (adapts depth/style)	✓ `get_user_profile()`	✗
Error pattern avoidance (learns from past fails)

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

86/100across 5 weighted dimensions

How we score →

0255075100

−14

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked pipx against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

~305 tokens total

Inventory

Resources (1)

last_context

Persistent context file for cross-agent handoff between Claude, Gemini, and Cursor

last_context.json

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.ashlesh-t/cognirepo safe to use?: io.github.ashlesh-t/cognirepo has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.ashlesh-t/cognirepo?: io.github.ashlesh-t/cognirepo supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.ashlesh-t/cognirepo do?: io.github.ashlesh-t/cognirepo provides 4 tools: lookup_symbol, get_user_profile, record_error, record_decision. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.ashlesh-t/cognirepo?: io.github.ashlesh-t/cognirepo is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.ashlesh-t/cognirepo actively maintained?: io.github.ashlesh-t/cognirepo is actively maintained — last commit was 0 days ago. It has 13 GitHub stars.