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Vectora MCP Server

local only

Vectora runs on your own machine — the client starts it, so there is no endpoint to ping. 70 installs a week from pypi. Last commit 29 Oct 2026.

AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.

Installs per day peak 23 · avg 10 · -25% w/w
a month agotoday
70
Installs / week
pypi · vectora-agent
1
Stars
38 open issues
29 Oct 2026
Last commit
from GitHub
—
License
Python

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 September 2026. No other catalogue keeps this.

24 Sep the owner changed

What the code does

We read the source, 4 d ago · rules 995398eba69f

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Deletes files or strips permissions vectora/backend/services/smart_approval.py:45
    "com confiança (ex.: rm -rf, git push --force, apagar recursos)."
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Touches key and credential files vectora/backend/context_graph/detect.py:229
    re.compile(r"(id_rsa|id_dsa|id_ecdsa|id_ed25519)(\.pub)?$"),
Reads files and sends them to the network vectora/backend/api/handlers/workspaces.py:557
                for child in sorted(m.iterdir(), key=lambda p: p.name.lower())
Dumps the whole environment vectora/backend/main.py:670
    if _should_install_terminal_signals(dict(os.environ), force_web=force_web):

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Vectora and you get told the day something new turns up.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add vectora -e 'COHERE_API_KEY=<COHERE_API_KEY>' -e 'TAVILY_API_KEY=<TAVILY_API_KEY>' -- uvx vectora-agent
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "vectora": {
      "command": "uvx",
      "args": [
        "vectora-agent"
      ],
      "env": {
        "COHERE_API_KEY": "<COHERE_API_KEY>",
        "TAVILY_API_KEY": "<TAVILY_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.vectora]
command = "uvx"
args = ["vectora-agent"]
env = { COHERE_API_KEY = "<COHERE_API_KEY>", TAVILY_API_KEY = "<TAVILY_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "vectora": {
      "command": "uvx",
      "args": [
        "vectora-agent"
      ],
      "env": {
        "COHERE_API_KEY": "<COHERE_API_KEY>",
        "TAVILY_API_KEY": "<TAVILY_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "vectora": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vectora-agent"
      ],
      "env": {
        "COHERE_API_KEY": "<COHERE_API_KEY>",
        "TAVILY_API_KEY": "<TAVILY_API_KEY>"
      }
    }
  }
}

Put your own values in place of <COHERE_API_KEY> (Cohere API key — required for RAG embeddings and reranking), <TAVILY_API_KEY> (Tavily API key — required for web search and URL extraction). The author’s registry entry marks them as required.

Optional settings from the registry entry, left out of the block above: GOOGLE_API_KEY (Google Gemini API key (recommended free-tier LLM provider)), OPENAI_API_KEY (OpenAI API key (optional — alternative LLM provider)), ANTHROPIC_API_KEY (Anthropic API key (optional — alternative LLM provider)), LANGSMITH_API_KEY (LangSmith API key (optional — tracing and observability)).

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Vectora — questions

Answers built from our own checks of this server.

Why is there no uptime for Vectora?
Vectora runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package vectora-agent was installed 70 times last week.
How do I connect Vectora?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls vectora-agent straight from pypi; nothing to host, nothing to sign up for.
How many people use Vectora?
The pypi package vectora-agent was installed 70 times in the last week. Week over week that is -25%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Vectora open source?
We cannot say either way: written in Python, 1 stars on GitHub and 38 open issues, but we could not determine the licence, and without one the code is not open source by default.