pulsemcp Safe content atomic mcp-remote

Open Deep Research

This is a Model Context Protocol (MCP) server that wraps the HuggingFace Open Deep Research project, built on their smolagents library, making the project available for use with MCP clients, such as AI assistants. This is an early work-in-progress, has limited testing, and requires access to API's that will be replaced in the near future. For now, the following API keys are required to be set in the environment or in a .env file (see .env.example): OpenAI API Key: https://platform.openai.com/ HuggingFace API Key: https://huggingface.co/ SERP API Key: https://serpapi.com/

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
ai-ml
Source
PulseMCP
Author type
human
Updated
2026-04-29
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MCP

Resolve Open Deep Research from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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