pulsemcp scanned Safe content atomic mcp-remote

Open Search

This MCP server provides AI assistants with comprehensive web search, academic research, and content extraction capabilities through a free, open-source alternative to paid search APIs, built by Open Search MCP Contributors using TypeScript with dual MCP/HTTP API operation modes. The implementation aggregates multiple search engines (DuckDuckGo, Google, Bing), academic databases (arXiv, PubMed, IEEE), social platforms (Reddit, GitHub), and news sources with intelligent load balancing, health monitoring, and failover mechanisms across distributed Searx clusters. Features advanced PDF processing with OCR support, AI-powered query optimization through local Ollama models (Llama 3.2, Qwen 2.5), semantic search with vector databases, and multi-platform integration for Claude Desktop, Cursor, VSCode, and Windsurf, serving researchers needing comprehensive literature review capabilities, developers requiring real-time technical information gathering, and teams building knowledge-intensive applications without relying on expensive third-party search APIs.

Cognium trust score
54%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

MCP

Resolve Open Search 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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