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Analytical

Analytical MCP Server enhances AI capabilities for structured problem-solving, analytical reasoning, and decision-making through a suite of specialized tools. It integrates with Exa for research verification and fact extraction, while providing statistical analysis, logical reasoning, and perspective generation capabilities. The implementation features robust error handling, configurable caching, and rate limiting to ensure reliable performance. Particularly valuable for data analysts, researchers, and decision-makers who need to validate information, analyze datasets, detect logical fallacies, and generate multi-perspective insights without leaving their AI assistant interface.

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: search
Source: PulseMCP
Repository: github.com/quanticsoul4772/analytical-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve Analytical 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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"