pulsemcp verified Safe content atomic mcp-remote

Yandex Tracker

This MCP server provides comprehensive integration with Yandex Tracker, Russia's project management and issue tracking platform, enabling AI assistants to interact with tickets, queues, users, and project data through a robust protocol-based architecture. Built by KTS with FastMCP and featuring optional Redis caching, it supports multiple authentication methods including OAuth 2.0 with PKCE, static tokens, IAM tokens, and service account credentials, making it suitable for both individual developers and enterprise deployments. The implementation offers 18 specialized tools covering issue management (search, retrieval, comments, attachments, checklists), queue operations, user management, and metadata access, with advanced features like selective field inclusion to optimize context window usage and queue-level access restrictions for security.

Cognium trust score

77%

Tier

Verified

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
Repository: github.com/aikts/yandex-tracker-mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Yandex Tracker 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"