pulsemcp Safe content atomic mcp-remote

Tally DAO Governance

This MCP Tally API server, developed using TypeScript, provides a standardized interface for accessing DAO governance data through the Tally API. Built with the Model Context Protocol SDK and leveraging GraphQL, it enables AI agents to query and analyze information about DAOs, proposals, and voting activities. The server is designed for easy deployment and configuration, with environment variable management and comprehensive error handling. By abstracting the complexities of the Tally API into an MCP interface, it facilitates use cases such as DAO analytics, governance monitoring, and automated reporting on decentralized decision-making processes. This implementation is particularly valuable for researchers, DAO participants, and developers building AI-powered tools for decentralized governance analysis.

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: devops-ci
Source: PulseMCP
Repository: github.com/crazyrabbitltc/mpc-tally-api-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Tally DAO Governance 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"