pulsemcp scanned Safe content atomic mcp-remote

Zen

This MCP server provides Google Gemini 2.5 Pro integration as a development partner for Claude, enabling extended reasoning, code analysis, and collaborative problem-solving through a 1M token context window. Built by Fahad Gilani at Beehive Innovations using Python with the Google GenAI SDK, it offers five specialized tools: think_deeper for extended reasoning with enhanced thinking models, review_code for professional code reviews with severity prioritization, debug_issue for systematic root cause analysis, analyze for file and directory exploration, and chat for collaborative brainstorming. The implementation features automatic directory expansion with intelligent file filtering, dynamic context requests where Gemini can ask Claude for additional files mid-analysis, configurable thinking modes from minimal to maximum reasoning depth, and standardized JSON responses for seamless integration, making it valuable for architectural decision validation, large codebase analysis beyond Claude's context limits, complex debugging workflows, and collaborative development where multiple AI perspectives enhance problem-solving.

Cognium trust score

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: file-system
Source: PulseMCP
Repository: github.com/beehiveinnovations/pal-mcp-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Zen 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"