Vera 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. Licensed under MIT.

How do I install Vera?

Vera 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.

Vera provides 4 tools: search_code, get_stats, get_overview, regex_search. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Vera?

Vera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is Vera actively maintained?

Vera is actively maintained — last commit was 17 days ago. It has 91 GitHub stars.

Vera

Name: Vera
Author: lemon07r

@vera-ai/cli · by lemon07r

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

91 72/wk 4 tools GitHub npm PyPI

No known CVEs

MIT license

Actively maintained

Last commit 17d ago

Works with most clients

Transport: stdio, sse

4 tools

Grade F

Edit this pageView history

Search Developer Tools

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse · Node 18+

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

{
  "mcpServers": {
    "vera": {
      "args": [
        "-y",
        "@vera-ai/cli"
      ],
      "command": "npx"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/vera)](https://mcppedia.org/s/vera)

Read me

What Vera does

Install Guide Query Guide Benchmarks How It Works Supported Languages

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.

npx -y '@vera-ai/cli' 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

60/100across 5 weighted dimensions

How we score →

0255075100

−40

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @vera-ai/cli against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

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 Vera safe to use?: Vera 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. Licensed under MIT.
How do I install Vera?: Vera 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 Vera do?: Vera provides 4 tools: search_code, get_stats, get_overview, regex_search. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Vera?: Vera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Vera actively maintained?: Vera is actively maintained — last commit was 17 days ago. It has 91 GitHub stars.

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Community

Discussion

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Search Developer Tools

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse · Node 18+

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

{
  "mcpServers": {
    "vera": {
      "args": [
        "-y",
        "@vera-ai/cli"
      ],
      "command": "npx"
    }
  }
}

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/vera)](https://mcppedia.org/s/vera)

Read me

What Vera does

Install Guide Query Guide Benchmarks How It Works Supported Languages

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.

npx -y '@vera-ai/cli' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Vera

Install Guide · Features · Query Guide · Benchmarks · How It Works · Models · Supported Languages

Vector Enhanced Reranking Agent

Code search that combines BM25 keyword matching, vector similarity, and cross-encoder reranking. Supports 65 languages (61 with tree-sitter parsing), runs locally, returns structured results with file paths, line ranges, symbol metadata, and relevance scores.

Quick Start

1. Install

bunx @vera-ai/cli install   # or: npx -y @vera-ai/cli install / uvx vera-ai install

2. Set up models (pick one)

vera setup                       # Interactive wizard (auto-detects your hardware)
vera setup --api                 # API mode: works everywhere, no GPU needed (recommended)
vera setup --onnx-jina-coreml    # Apple Silicon (M1/M2/M3/M4)
vera setup --onnx-jina-cuda      # NVIDIA GPU
vera setup --onnx-jina-rocm      # AMD GPU (ROCm, Linux)
vera setup --onnx-jina-openvino  # Intel GPU (OpenVINO, Linux)
vera setup --onnx-jina-directml  # DirectX 12 GPU (Windows)

3. Index and search

vera index .
vera search "authentication logic"

What Sets Vera Apart


Cross-encoder reranking	Most tools stop at retrieval. Vera scores query-candidate pairs jointly, lifting MRR@10 from 0.28 to 0.60.
Single binary, 65 languages	One static binary with 61 tree-sitter grammars compiled in. No Python, no language servers, no per-language toolchains.
Built-in code intelligence	Call graph analysis, reference finding, dead code detection, and project overview, all from the same index.
Token-efficient for agents	Returns symbol-bounded chunks, not entire files. 75-95% fewer tokens on typical queries.

Vera started after weeks of working on Pampax, a project I forked because it and other similar tools were missing what I wanted. I kept running into deep-rooted bugs, less-than-ideal design decisions, and thought I could build something better from the ground up. Every design choice comes from careful research, learning from other projects, benchmarking and evaluation. Take a look at the full feature list to see everything Vera can do.

Installation

Use the quick start above if you just want to get going. This section helps you pick the right backend.

bunx @vera-ai/cli install   # or: npx -y @vera-ai/cli install / uvx vera-ai install

Pick Your Backend

Vera itself is always local: the index lives in .vera/ per project, config and models in $XDG_DATA_HOME/vera (or ~/.vera for existing installs). The backend choice only affects where embeddings and reranking run.

You have	Run this	What happens
Not sure	`vera setup`	Interactive wizard auto-detects your hardware
Any hardware	`vera setup --api`	Models run remotely via any OpenAI-compatible API. No GPU needed. Recommended.
Apple Silicon (M1/M2/M3/M4)	`vera setup --onnx-jina-coreml`	Downloads local models, uses CoreML GPU acceleration
NVIDIA GPU	`vera setup --onnx-jina-cuda`	Downloads local models, uses CUDA. Fastest local option
AMD GPU (Linux)	`vera setup --on

... 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

60/100across 5 weighted dimensions

How we score →

0255075100

−40

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @vera-ai/cli against OSV.dev.

Inventory

Tools (4)

Click any tool to inspect its schema.

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 Vera safe to use?: Vera 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. Licensed under MIT.
How do I install Vera?: Vera 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 Vera do?: Vera provides 4 tools: search_code, get_stats, get_overview, regex_search. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Vera?: Vera is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Vera actively maintained?: Vera is actively maintained — last commit was 17 days ago. It has 91 GitHub stars.