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ai.primateintelligence/mcp

Official registry Media and design

Video scene understanding for AI agents via the Primate Vision API.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http ai-primateintelligence-mcp 'https://api.primateintelligence.ai/mcp' --header 'Authorization: <Authorization>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ai-primateintelligence-mcp": {
            "type": "http",
            "url": "https://api.primateintelligence.ai/mcp",
            "headers": {
                "Authorization": "<Authorization>"
            }
        }
    }
}
NPM package @primate-intelligence/mcp
Claude Code 
claude mcp add ai-primateintelligence-mcp -e 'PRIMATE_API_KEY=<your primate_api_key>' -- npx -y @primate-intelligence/mcp@0.4.0
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ai-primateintelligence-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@primate-intelligence/mcp@0.4.0"
            ],
            "env": {
                "PRIMATE_API_KEY": "<your primate_api_key>"
            }
        }
    }
}

Environment variables

  • PRIMATE_API_KEY required secret Primate Vision API key (get a free one at https://primateintelligence.ai/docs/agents)

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. @primate-intelligence/mcp
  2. Try it for free
  3. Two ways to connect
  4. Tools
  5. Typical agent flow
  6. Security contract
  7. Configuration
  8. Development
  9. Links
  10. License

@primate-intelligence/mcp

MCP (Model Context Protocol) server for the Primate Vision video analysis API — a video understanding API by Primate Intelligence (docs · llms.txt).

Gives AI agents video scene understanding as tools: register a video, ask a question in plain English, get a deterministic answer with a confidence score and clip timestamps. No hallucinated descriptions — the answer is yes / no / indeterminate with evidence.

Try it for free

A free test key requires no email, no card, no signup:

curl -X POST https://api.primateintelligence.ai/v1/sandbox

Your AI agent can do this for you — right from Claude. Point it at primateintelligence.ai/llms.txt and it can discover, provision, integrate, and self-verify with zero human steps.

Two ways to connect

Streamable HTTP endpoint with full OAuth 2.1 + Dynamic Client Registration + PKCE:

https://api.primateintelligence.ai/mcp

In Claude.ai / Claude Desktop: Settings → Connectors → Add custom connector, paste the URL, sign in. No API key handling — the OAuth flow issues and rotates tokens for you.

2. Local stdio server
// claude_desktop_config.json · .mcp.json · mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "primate-intelligence": {
      "command": "npx",
      "args": ["-y", "@primate-intelligence/mcp"],
      "env": { "PRIMATE_API_KEY": "pv_live_…" }
    }
  }
}

Tools

ToolDoesRead-only
create_video_from_urlRegister a video from a public https URL (POST /v1/videos)—
create_analysisAsk a question about a video (POST /v1/analyses)—
validate_analysisDry-run a prompt: assessability + cost estimate, zero credits (validate_only: true)✓
create_analysis_batch2–10 prompts on one video; each after the first billed at 50% (POST /v1/analyses/batch)—
get_analysisFetch analysis status/result (GET /v1/analyses/{id})✓
wait_for_analysisPoll until terminal state; returns { analysis, retry }✓
list_modelsList available models (GET /v1/models)✓
get_usageCredit balance + period meters (GET /v1/usage)✓
get_creditsBalance + per-analysis transaction ledger (GET /v1/credits)✓
get_test_fixtureStable fixture for integration self-verification (GET /v1/test-fixture)✓

Every tool carries MCP annotations (title, readOnlyHint, destructiveHint, idempotentHint, openWorldHint), declares an outputSchema, and returns structuredContent conforming to it. No tool deletes data. Tool descriptions and schemas mirror the OpenAPI document at GET /v1/openapi.json — the spec is the source of truth.

Typical agent flow

  1. get_test_fixture → verify the integration works (test keys return deterministic results, no quota burn)
  2. create_video_from_url with the video URL
  3. validate_analysis → confirm the prompt is assessable + preview estimated_cost_usd (free)
  4. create_analysis with the question — "Is there a person in this video?" — or create_analysis_batch for several
  5. wait_for_analysis → result.answer (yes | no | indeterminate) + result.confidence + result.clips + result.detected_count (count queries) + result.indeterminate_reason
  6. On insufficient_credits: call get_credits, report the balance + recent debits, point the human at billing

Security contract

The API key is read from the PRIMATE_API_KEY environment variable only. No tool accepts a key, token, or secret as an argument — so credentials never land in agent transcripts, tool-call logs, or model context. This is enforced by a unit test that fails the build if any tool schema grows a credential-shaped parameter.

Errors surface the machine-readable error code, a docs_url, and the request_id so an agent can self-correct without a human in the loop.

Configuration

VarRequiredDefault
PRIMATE_API_KEYyes—
PRIMATE_BASE_URLnohttps://api.primateintelligence.ai

Development

npm install
npm test        # vitest — tool surface, security contract, polling, error shape
npm run build   # tsc → dist/

License

MIT © Primate AI, Inc.

Frequently asked questions

What is ai.primateintelligence/mcp?

Video scene understanding for AI agents via the Primate Vision API.

How do I install ai.primateintelligence/mcp?

It runs as a remote server. In Claude Code: claude mcp add --transport http ai-primateintelligence-mcp 'https://api.primateintelligence.ai/mcp' --header 'Authorization: <Authorization>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ai.primateintelligence/mcp need an API key?

Yes. It expects PRIMATE_API_KEY, Authorization, which you set in its configuration.

Is ai.primateintelligence/mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains ai.primateintelligence/mcp?

It is published by Primate-Intelligence. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.