Yandex Tracker MCP Server

mcp-name: io.github.aikts/yandex-tracker-mcp

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance.

Documentation in Russian is available here / Документация на русском языке доступна здесь.

Features

• Complete Queue Management: List and access all available Yandex Tracker queues with pagination support, tag retrieval, and detailed metadata

• Projects, Portfolios and Goals: Dedicated read and write tools with explicit schemas for each entity type in the Tracker "entities" API (opt-in via TRACKER_ENTITIES_ENABLED)

• User Management: Retrieve user account information, including login details, email addresses, license status, and organizational data

• Full Issue Lifecycle: Create, read, update, and manage issues with support for custom fields, attachments, and workflow transitions

• Status Workflow Management: Execute status transitions, close issues with resolutions, and navigate complex workflows

• Field Management: Access global fields, queue-specific local fields, statuses, issue types, priorities, and resolutions

• Boards and Sprints: List agile boards and their sprints to find sprint IDs for issue planning

• Advanced Query Language: Full Yandex Tracker Query Language support with complex filtering, sorting, and date functions

• Performance Caching: Optional Redis caching layer for improved response times

• Security Controls: Configurable queue access restrictions and secure token handling

• Multiple Transport Options: Support for stdio, SSE (deprecated), and HTTP transports for flexible integration

• OAuth 2.0 Authentication: Dynamic token-based authentication with automatic refresh support as an alternative to static API tokens

• Organization Support: Compatible with both standard and cloud organization IDs

Organization ID Configuration

Choose one of the following based on your Yandex organization type:

• Yandex Cloud Organization: Use TRACKER_CLOUD_ORG_ID env var later for Yandex Cloud-managed organizations

• Yandex 360 Organization: Use TRACKER_ORG_ID env var later for Yandex 360 organizations

You can find your organization ID in the Yandex Tracker URL or organization settings.

MCP Client Configuration

Installing extension in Claude Desktop

Yandex Tracker MCP Server can be one-click installed in Claude Desktop as and extension.

Installation

1. Download the *.mcpb file from GitHub Releases.

2. Double-click the downloaded file to install it in Claude Desktop.

3. Provide your Yandex Tracker OAuth token when prompted.

4. Make sure extension is enabled - now you may use this MCP Server.

Manual installation

Prerequisites

• uv installed globally

• Valid Yandex Tracker API token with appropriate permissions

The following sections show how to configure the MCP server for different AI clients. You can use either uvx yandex-tracker-mcp@latest or the Docker image ghcr.io/aikts/yandex-tracker-mcp:latest. Both require these environment variables:

• Authentication (one of the following):

  • TRACKER_TOKEN - Your Yandex Tracker OAuth token

  • TRACKER_IAM_TOKEN - Your IAM token

  • TRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY - Service account credentials

• Organization - exactly one of the following:

  • TRACKER_CLOUD_ORG_ID - Your Yandex Cloud organization ID

  • TRACKER_ORG_ID - Your Yandex 360 organization ID

Set one of the two. Setting both makes every Tracker call fail with Only one of org_id or cloud_org_id should be provided. The examples below use TRACKER_CLOUD_ORG_ID; on Yandex 360, replace that key with TRACKER_ORG_ID.

Configuration file path:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

Using uvx:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using uvx:

claude mcp add yandex-tracker uvx yandex-tracker-mcp@latest \
  -e TRACKER_TOKEN=your_tracker_token_here \
  -e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here \
  -e TRANSPORT=stdio

Using Docker:

claude mcp add yandex-tracker docker "run --rm -i -e TRACKER_TOKEN=your_tracker_token_here -e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here -e TRANSPORT=stdio ghcr.io/aikts/yandex-tracker-mcp:latest"

Configuration file path:

• Project-specific: .cursor/mcp.json in your project directory

• Global: ~/.cursor/mcp.json

Using uvx:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Configuration file path:

• ~/.codeium/windsurf/mcp_config.json

Access via: Windsurf Settings → Cascade tab → Model Context Protocol (MCP) Servers → "View raw config"

Using uvx:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Configuration file path:

• ~/.config/zed/settings.json

Access via: Cmd+, (macOS) or Ctrl+, (Linux/Windows) or command palette: "zed: open settings"

Note: Requires Zed Preview version for MCP support.

Using uvx:

{
  "context_servers": {
    "yandex-tracker": {
      "source": "custom",
      "command": {
        "path": "uvx",
        "args": ["yandex-tracker-mcp@latest"],
        "env": {
          "TRACKER_TOKEN": "your_tracker_token_here",
          "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
        }
      }
    }
  }
}

Using Docker:

{
  "context_servers": {
    "yandex-tracker": {
      "source": "custom",
      "command": {
        "path": "docker",
        "args": [
          "run", "--rm", "-i",
          "-e", "TRACKER_TOKEN",
          "-e", "TRACKER_CLOUD_ORG_ID",
          "ghcr.io/aikts/yandex-tracker-mcp:latest"
        ],
        "env": {
          "TRACKER_TOKEN": "your_tracker_token_here",
          "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
        }
      }
    }
  }
}

Configuration file path:

• Workspace: .vscode/mcp.json in your project directory

• Global: VS Code settings.json

Option 1: Workspace Configuration (Recommended for security)

Create .vscode/mcp.json:

Using uvx:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "tracker-token",
      "description": "Yandex Tracker Token",
      "password": true
    },
    {
      "type": "promptString",
      "id": "cloud-org-id",
      "description": "Yandex Cloud Organization ID"
    }
  ],
  "servers": {
    "yandex-tracker": {
      "type": "stdio",
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "${input:tracker-token}",
        "TRACKER_CLOUD_ORG_ID": "${input:cloud-org-id}",
        "TRANSPORT": "stdio"
      }
    }
  }
}

Using Docker:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "tracker-token",
      "description": "Yandex Tracker Token",
      "password": true
    },
    {
      "type": "promptString",
      "id": "cloud-org-id",
      "description": "Yandex Cloud Organization ID"
    }
  ],
  "servers": {
    "yandex-tracker": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "${input:tracker-token}",
        "TRACKER_CLOUD_ORG_ID": "${input:cloud-org-id}",
        "TRANSPORT": "stdio"
      }
    }
  }
}

Option 2: Global Configuration

Add to VS Code settings.json:

Using uvx:

{
  "github.copilot.chat.mcp.servers": {
    "yandex-tracker": {
      "type": "stdio",
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using Docker:

{
  "github.copilot.chat.mcp.servers": {
    "yandex-tracker": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

For other MCP-compatible clients, use the standard MCP server configuration format:

Using uvx:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "uvx",
      "args": ["yandex-tracker-mcp@latest"],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Using Docker:

{
  "mcpServers": {
    "yandex-tracker": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "TRACKER_TOKEN",
        "-e", "TRACKER_CLOUD_ORG_ID",
        "ghcr.io/aikts/yandex-tracker-mcp:latest"
      ],
      "env": {
        "TRACKER_TOKEN": "your_tracker_token_here",
        "TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
      }
    }
  }
}

Important Notes:

• Replace placeholder values with your actual credentials

• Restart your AI client after configuration changes

• Ensure uvx is installed and available in your system PATH

• For production use, consider using environment variables instead of hardcoding tokens

Available MCP Tools

The server exposes the following tools through the MCP protocol:

• Read queue_get_fields before issue_create, but it is not the whole registry: system fields such as parent or estimation are settable without appearing there, and get_global_fields lists every field the organization has.

• queue_get_metadata with expand: ["issueTypesConfig"] is where the resolutions valid for each issue type come from - issue_close needs one of them.

• All of these respect TRACKER_LIMIT_QUEUES. hits / pages from queues_get_all are reported only for an explicit single page on a server without the allow-list, since the totals count queues the allow-list then hides.

A component is a label grouping a queue's issues by product, process or owner. Its numeric id is what issue_create / issue_update take in components.

• TRACKER_LIMIT_QUEUES and TRACKER_READ_ONLY_QUEUES apply through the component's queue: component_update and component_delete read the component first to learn it, and a component in a queue outside TRACKER_LIMIT_QUEUES is reported as not found.

Projects, portfolios and goals are separate Yandex Tracker entities (distinct from queues), exposed through the Tracker "entities" API. Custom (organization-defined) attributes are not modeled and are not returned.

These tools are opt-in. They are registered only when TRACKER_ENTITIES_ENABLED=true (default false), because they add a large tool manifest and are not covered by the queue restrictions — see Queue Access Control.

The three entity types share one tool set, so it is listed once - the row says what the tool does, the columns which name to call:

• Arguments. Reads take entity_id and fields; the *_find tools take input, filter, order_by, order_asc, root_only, page, per_page. Create and update take summary (required on create), description, lead, team_users, clients, followers, start (goals have none), end, tags, entity_status, parent_entity, team_access and links, and update also comment and version (optimistic locking). Every tool takes the same fields selector and returns the entity.

• links are added, never replaced, and the API never returns them: an existing link cannot be read back or removed through this server, and a links-only update is rejected rather than reported as a success Tracker silently ignores.

• Not in the default field set: checklistItems (the checklist tools return the whole entity, so ask for them to see the result), metricItems, and a goal's keyResultItems - the last two are read-only. Goals use their own entityStatus values (draft, according_to_plan, at_risk, blocked, achieved, partially_achieved, not_achieved, exceeded, cancelled). Bulk changes are not supported.

• users_search matches login and email exactly first and falls back to fuzzy name matching (80% similarity, at most the three best matches).

• The page from users_get_all is the last one when page equals pages.

Queue-local fields are not here - queue_get_fields returns them together with the global ones.

These four are organization-wide. A queue may accept only some of the values they list, and Tracker answers 422 for one it does not accept - queue_get_metadata with expand: ["issueTypesConfig"] says which resolutions each issue type takes.

• Templates are read-only helpers. The API cannot create an issue or a comment from a template, so issue_create and issue_add_comment take no template_id: read the template and pass its values as the write tool's own arguments. Macros such as {{today}} arrive literally.

• The issue body a template prefills is in fieldTemplates.description; the template's own description describes the template.

• queue returns that queue's templates plus the ones bound to no queue, which are usable everywhere. TRACKER_LIMIT_QUEUES applies: templates of a restricted queue are omitted from the listings and rejected on direct access, while templates without a queue stay visible.

• A board has no queue of its own, so queue is matched against the board's own filter and misses the boards that filter by something else - a personal board filtering by assignee, for one. To catch those, read a few issues of the queue with issues_find and look at their boards field.

• Boards belong to the organization, not to a queue, so TRACKER_LIMIT_QUEUES does not filter them: only the queue argument of boards_get_all is checked, and what these tools return can name restricted queues.

• A non-scrum board has no sprints and board_get_sprints is rejected for it. The sprint id it returns is what issue_create / issue_update take.

• version goes stale on its own. Queue triggers and automation run right after issue_create and bump it, so the version it returns is routinely already old. Re-read it with issue_get immediately before issue_update, or omit it to update the latest version unconditionally; a stale one fails with an editing conflict.

• Reference fields take the same values on create and on update: an object with id and/or key, or - for type, priority and parent - the bare key or id. components take {"id": ...} or {"name": ...}, and components / followers replace the current list rather than adding to it. Anything without a dedicated argument goes into the fields map, keyed by the field id from queue_get_fields; an entry there overrides the dedicated argument, and an explicit null clears the field.

• Transitions are not guessed. issue_execute_transition only takes ids from issue_get_transitions, and before issue_close read the issue's type with issue_get and the resolutions valid for that type from queue_get_metadata with expand: ["issueTypesConfig"] - each type has its own set. Where the client supports elicitation, issue_move asks the user to confirm its flags first, and declining aborts the move.

Every tool here respects TRACKER_LIMIT_QUEUES and TRACKER_READ_ONLY_QUEUES; the ones that write are registered only when TRACKER_READ_ONLY is off.

• fields uses Tracker's own spelling (storyPoints, not story_points) and accepts any field name, a queue's local and the organization's custom fields included - pass the field id from queue_get_fields. A name Tracker does not know is dropped silently.

• include_description is ignored when description is listed in fields: naming it there is an explicit request for it.

• per_page defaults to 100 and can be lowered when a page does not fit the context window.

http Transport

The MCP server can also be run in streamable-http mode for web-based integrations or when stdio transport is not suitable.

streamable-http Mode Environment Variables

# Required - Set transport to streamable-http mode
TRANSPORT=streamable-http

# Server Configuration
HOST=0.0.0.0  # Default: 0.0.0.0 (all interfaces)
PORT=8000     # Default: 8000

Starting the streamable-http Server

# Basic streamable-http server startup
TRANSPORT=streamable-http uvx yandex-tracker-mcp@latest

# With custom host and port
TRANSPORT=streamable-http \
HOST=localhost \
PORT=9000 \
uvx yandex-tracker-mcp@latest

# With all environment variables
TRANSPORT=streamable-http \
HOST=0.0.0.0 \
PORT=8000 \
TRACKER_TOKEN=your_token \
TRACKER_CLOUD_ORG_ID=your_org_id \
uvx yandex-tracker-mcp@latest

You may skip configuring TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID if you are using the following format when connecting to MCP Server (example for Claude Code):

claude mcp add --transport http yandex-tracker "http://localhost:8000/mcp/?cloudOrgId=your_cloud_org_id&"

or

claude mcp add --transport http yandex-tracker "http://localhost:8000/mcp/?orgId=org_id&"

You may also skip configuring global TRACKER_TOKEN environment variable if you choose to use OAuth 2.0 authentication (see below).

OAuth 2.0 Authentication

The Yandex Tracker MCP Server supports OAuth 2.0 authentication as a secure alternative to static API tokens. When configured, the server acts as an OAuth provider, facilitating authentication between your MCP client and Yandex OAuth services.

How OAuth Works

The MCP server implements a standard OAuth 2.0 authorization code flow:

1. Client Registration: Your MCP client registers with the server to obtain client credentials

2. Authorization: Users are redirected to Yandex OAuth to authenticate

3. Token Exchange: The server exchanges authorization codes for access tokens

4. API Access: Clients use bearer tokens for all API requests

5. Token Refresh: Expired tokens can be refreshed without re-authentication

MCP Client → MCP Server → Yandex OAuth → User Authentication
    ↑                                           ↓
    └────────── Access Token ←─────────────────┘

OAuth Configuration

To enable OAuth authentication, set the following environment variables:

# Enable OAuth mode
OAUTH_ENABLED=true

# Yandex OAuth Application Credentials (required for OAuth)
OAUTH_CLIENT_ID=your_yandex_oauth_app_id
OAUTH_CLIENT_SECRET=your_yandex_oauth_app_secret

# Public URL of your MCP server (required for OAuth callbacks)
MCP_SERVER_PUBLIC_URL=https://your-mcp-server.example.com

# Optional OAuth settings
OAUTH_SERVER_URL=https://oauth.yandex.ru  # Default Yandex OAuth server

# When OAuth is enabled, TRACKER_TOKEN becomes optional

OAuth Scopes

With OAUTH_USE_SCOPES=true (the default) the server requests, advertises and requires the Yandex Tracker scopes tracker:read and tracker:write - or tracker:read alone when TRACKER_READ_ONLY=true, so a read-only instance never asks the user for write access. Setting OAUTH_USE_SCOPES=false drops scopes from the flow entirely, which is what Yandex Cloud federation requires.

Setting Up Yandex OAuth Application

1. Go to Yandex OAuth and create a new application

2. Set the callback URL to: {MCP_SERVER_PUBLIC_URL}/oauth/yandex/callback

3. Request the following permissions:

   • tracker:read - Read permissions for Tracker

   • tracker:write - Write permissions for Tracker

4. Save your Client ID and Client Secret

OAuth vs Static Token Authentication

OAuth Mode Limitations

• Currently, the OAuth mode requires the MCP server to be publicly accessible for callback URLs

• OAuth mode is best suited for interactive clients that support web-based authentication flows

Using OAuth with MCP Clients

When OAuth is enabled, MCP clients will need to:

1. Support OAuth 2.0 authorization code flow

2. Handle token refresh when access tokens expire

3. Store refresh tokens securely for persistent authentication

Note: Not all MCP clients currently support OAuth authentication. Check your client's documentation for OAuth compatibility.

Example configuration for Claude Code:

claude mcp add --transport http yandex-tracker https://your-mcp-server.example.com/mcp/ -s user

OAuth Data Storage

The MCP server supports two different storage backends for OAuth data (client registrations, access tokens, refresh tokens, and authorization states):

InMemory Store (Default)

The in-memory store keeps all OAuth data in server memory. This is the default option and requires no additional configuration.

Characteristics:

• Persistence: Data is lost when the server restarts

• Performance: Very fast access since data is stored in memory

• Scalability: Limited to single server instance

• Setup: No additional dependencies required

• Best for: Development, testing, or single-instance deployments where losing OAuth sessions on restart is acceptable

Configuration:

OAUTH_STORE=memory  # Default value, can be omitted

Redis Store

The Redis store provides persistent storage for OAuth data using a Redis database. This ensures OAuth sessions survive server restarts and enables multi-instance deployments.

Characteristics:

• Persistence: Data persists across server restarts

• Performance: Fast access with network overhead

• Scalability: Supports multiple server instances sharing the same Redis database

• Setup: Requires Redis server installation and configuration

• Best for: Production deployments, high availability setups, or when OAuth sessions must persist

Configuration:

# Enable Redis store for OAuth data
OAUTH_STORE=redis

# Redis connection settings (same as used for tools caching)
REDIS_ENDPOINT=localhost                  # Default: localhost
REDIS_PORT=6379                           # Default: 6379
REDIS_DB=0                                # Default: 0
REDIS_PASSWORD=your_redis_password        # Optional: Redis password
REDIS_POOL_MAX_SIZE=10                    # Default: 10

Storage Behavior:

• Client Information: Stored persistently

• OAuth States: Stored with TTL (time-to-live) for security

• Authorization Codes: Stored with TTL and automatically cleaned up after use

• Access Tokens: Stored with automatic expiration based on token lifetime

• Refresh Tokens: Stored persistently until revoked

• Key Namespacing: Uses oauth:* prefixes to avoid conflicts with other Redis data

Token Encryption (Required for Redis Store)

When using Redis store, you must configure encryption to protect OAuth tokens at rest. Token values are encrypted using Fernet (AES-128) and Redis keys use SHA-256 hashes instead of raw tokens, preventing token exposure if Redis is compromised.

Generate an encryption key:

python3 -c "import base64, os; print(base64.b64encode(os.urandom(32)).decode())"

Configuration:

# Single encryption key
OAUTH_ENCRYPTION_KEYS=<base64-encoded-32-byte-key>

# Multiple keys for rotation (first encrypts, all decrypt)
OAUTH_ENCRYPTION_KEYS=<new-key>,<old-key>

Key rotation allows seamless key updates: add the new key first, wait for old tokens to expire, then remove the old key.

Important Notes:

• Both stores use the same Redis connection settings as the tools caching system

• When using Redis store, ensure your Redis instance is properly secured and accessible

• The OAUTH_STORE setting only affects OAuth data storage; tools caching uses TOOLS_CACHE_ENABLED

• Redis store uses JSON serialization for better cross-language compatibility and debugging

Authentication

Yandex Tracker MCP Server supports multiple authentication methods with a clear priority order. The server will use the first available authentication method based on this hierarchy:

Authentication Priority Order

1. Dynamic OAuth Token (highest priority)

   • When OAuth is enabled and a user authenticates via OAuth flow

   • Tokens are dynamically obtained and refreshed per user session

   • Supports both standard Yandex OAuth and Yandex Cloud federative OAuth

   • Required env vars: OAUTH_ENABLED=true, OAUTH_CLIENT_ID, OAUTH_CLIENT_SECRET, MCP_SERVER_PUBLIC_URL

   • Additional vars for federative OAuth: OAUTH_SERVER_URL=https://auth.yandex.cloud/oauth, OAUTH_TOKEN_TYPE=Bearer, OAUTH_USE_SCOPES=false

2. Passthrough Bearer OAuth Token

   • When MCP OAuth middleware does not provide a token, the server can read a Yandex OAuth token from the incoming Authorization: Bearer <token> header

   • Useful behind a trusted reverse proxy or gateway that authenticates users, resolves their stored Yandex OAuth token, and injects it per request

   • The token from MCP OAuth still has priority when OAuth mode is enabled and active

3. Static OAuth Token

   • Traditional OAuth token provided via environment variable

   • Single token used for all requests

   • Required env var: TRACKER_TOKEN (your OAuth token)

4. Static IAM Token

   • IAM (Identity and Access Management) token for service-to-service authentication

   • Suitable for automated systems and CI/CD pipelines

   • Required env var: TRACKER_IAM_TOKEN (your IAM token)

5. Dynamic IAM Token (lowest priority)

   • Automatically retrieved using service account credentials

   • Token is fetched and refreshed automatically

   • Required env vars: TRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY

Authentication Scenarios

Scenario 1: OAuth with Dynamic Tokens (Recommended for Interactive Use)

# Enable OAuth mode
OAUTH_ENABLED=true
OAUTH_CLIENT_ID=your_oauth_app_id
OAUTH_CLIENT_SECRET=your_oauth_app_secret
MCP_SERVER_PUBLIC_URL=https://your-server.com

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

Scenario 2: Static OAuth Token (Simple Setup)

# OAuth token
TRACKER_TOKEN=your_oauth_token

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

Scenario 3: Passthrough Bearer Token Behind a Reverse Proxy

Use this mode when a trusted gateway handles user authentication, looks up the user's Yandex OAuth token, and forwards the request to the MCP server with that token in the request header:

Authorization: Bearer <user_yandex_oauth_token>

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

This passthrough token is used only when MCP OAuth middleware has not provided an access token for the request. In OAuth-enabled deployments with an active MCP OAuth session, the MCP OAuth token takes priority.

Scenario 4: Static IAM Token

# IAM token
TRACKER_IAM_TOKEN=your_iam_token

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

Scenario 5: Dynamic IAM Token with Service Account

# Service account credentials
TRACKER_SA_KEY_ID=your_key_id
TRACKER_SA_SERVICE_ACCOUNT_ID=your_service_account_id
TRACKER_SA_PRIVATE_KEY=your_private_key

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

Scenario 6: Federative OAuth for OIDC Applications (Advanced)

# Enable OAuth with Yandex Cloud federation
OAUTH_ENABLED=true
OAUTH_SERVER_URL=https://auth.yandex.cloud/oauth
OAUTH_TOKEN_TYPE=Bearer
OAUTH_USE_SCOPES=false
OAUTH_CLIENT_ID=your_oidc_client_id
OAUTH_CLIENT_SECRET=your_oidc_client_secret
MCP_SERVER_PUBLIC_URL=https://your-server.com

# Organization ID (choose one)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id  # or TRACKER_ORG_ID

This configuration enables authentication through Yandex Cloud OIDC applications, which is required for federated accounts in Yandex Cloud. Federated users authenticate through their organization's identity provider (IdP) and use this OAuth flow to access Yandex Tracker APIs.

Important Notes

• The server checks authentication methods in the order listed above

• Only one authentication method will be used at a time

• For production use, dynamic tokens (OAuth or IAM) are recommended for better security

• IAM tokens have a shorter lifetime than OAuth tokens and may need more frequent renewal

• When using service accounts, ensure the account has appropriate permissions for Yandex Tracker

Configuration

Environment Variables

# Authentication (use one of the following methods)
# Method 1: OAuth Token
TRACKER_TOKEN=your_yandex_tracker_oauth_token

# Method 2: IAM Token
TRACKER_IAM_TOKEN=your_iam_token

# Method 3: Service Account (for dynamic IAM token)
TRACKER_SA_KEY_ID=your_key_id                    # Service account key ID
TRACKER_SA_SERVICE_ACCOUNT_ID=your_sa_id        # Service account ID
TRACKER_SA_PRIVATE_KEY=your_private_key          # Service account private key

# Organization Configuration (set exactly one - setting both is an error)
TRACKER_CLOUD_ORG_ID=your_cloud_org_id    # For Yandex Cloud organizations
TRACKER_ORG_ID=your_org_id                # For Yandex 360 organizations

# API Configuration (optional)
TRACKER_API_BASE_URL=https://api.tracker.yandex.net  # Default: https://api.tracker.yandex.net
TRACKER_API_TIMEOUT=10                    # Default: 10 - Per-request timeout in seconds for Tracker API calls

# Security - Restrict access to specific queues (optional)
TRACKER_LIMIT_QUEUES=PROJ1,PROJ2,DEV      # Comma-separated queue keys - allow-list of accessible queues
TRACKER_READ_ONLY_QUEUES=PROJ2            # Comma-separated queue keys - allowed for reads but reject writes (per-queue read-only)
TRACKER_ENTITIES_ENABLED=true             # Default: false - Register project/portfolio/goal tools (NOT covered by the queue restrictions above)

# Server Configuration
HOST=0.0.0.0                              # Default: 0.0.0.0
PORT=8000                                 # Default: 8000
TRANSPORT=stdio                           # Options: stdio, streamable-http, sse

# Redis connection settings (used for caching and OAuth store)
REDIS_ENDPOINT=localhost                  # Default: localhost
REDIS_PORT=6379                           # Default: 6379
REDIS_DB=0                                # Default: 0
REDIS_PASSWORD=your_redis_password        # Optional: Redis password
REDIS_POOL_MAX_SIZE=10                    # Default: 10

# Tools caching configuration (optional)
TOOLS_CACHE_ENABLED=true                  # Default: false
TOOLS_CACHE_REDIS_TTL=3600                # Default: 3600 seconds (1 hour)

# OAuth 2.0 Authentication (optional)
OAUTH_ENABLED=true                        # Default: false
OAUTH_STORE=redis                         # Options: memory, redis (default: memory)
OAUTH_SERVER_URL=https://oauth.yandex.ru  # Default: https://oauth.yandex.ru (use https://auth.yandex.cloud/oauth for federation)
OAUTH_TOKEN_TYPE=<Bearer|OAuth|<empty>>   # Default: <empty> (required to be Bearer for Yandex Cloud federation)
OAUTH_USE_SCOPES=true                     # Default: true (set to false for Yandex Cloud federation)
OAUTH_CLIENT_ID=your_oauth_client_id      # Required when OAuth enabled
OAUTH_CLIENT_SECRET=your_oauth_secret     # Required when OAuth enabled
MCP_SERVER_PUBLIC_URL=https://your.server.com  # Required when OAuth enabled
TRACKER_READ_ONLY=true                    # Default: false - Disable all write tools for the whole instance

Queue Access Control

Access to queues can be scoped at three levels, from coarse to fine-grained:

• TRACKER_LIMIT_QUEUES — allow-list of queue keys. Queues outside the list are treated as not found / not allowed for both reads and writes. Keys are matched ignoring case, here and in TRACKER_READ_ONLY_QUEUES, so dev and DEV name the same queue. The one exception is the board tools: a board belongs to the organization rather than to a queue, so they are not filtered and can name a restricted queue in a board's settings.

• TRACKER_READ_ONLY — when true, all write tools are unregistered, so the whole instance is read-only.

• TRACKER_READ_ONLY_QUEUES — per-queue read-only allow-list. Write tools stay registered, but any mutating call (create/update/move/comment/worklog/link, queue version creation) targeting a listed queue is rejected, while reads keep working. Queues not listed here remain read-write.

Project/portfolio/goal tools are outside this model. A project, portfolio or goal isn't reliably mappable to a single queue, so none of the three settings above constrain them — neither the read tools (project_get, project_find, *_get_comments, …) nor the write tools (including comment and checklist tools). Enabling them grants org-wide access to those entities for anyone who can reach the server. For this reason they are opt-in: they are registered only when TRACKER_ENTITIES_ENABLED=true (default false), which also keeps the tool manifest small for deployments that don't need them. TRACKER_READ_ONLY still applies: it unregisters entity write tools along with all other write tools.

This lets a single instance be read-write on some queues and read-only on others at the same time — e.g. TRACKER_LIMIT_QUEUES=DEV,MGMT together with TRACKER_READ_ONLY_QUEUES=MGMT gives full access to DEV and read-only visibility into MGMT. This is especially useful for a shared MCP gateway where end users reach Tracker only through the server and never hold the raw token themselves.

These checks are in-process guardrails. For clients that hold the raw Tracker token directly, real limits should additionally be enforced on the token itself.

Docker Deployment

Using Pre-built Image (Recommended)

The image defaults to TRANSPORT=stdio, which talks over the container's stdin/stdout and opens no port. Set TRANSPORT=streamable-http for the examples below, where the server is reached over HTTP; for a stdio client, run the container with -i and no -p instead (see the MCP Client Configuration examples).

# Using environment file (it must set TRANSPORT=streamable-http)
docker run --env-file .env -p 8000:8000 ghcr.io/aikts/yandex-tracker-mcp:latest

# With inline environment variables
docker run -e TRACKER_TOKEN=your_token \
           -e TRACKER_CLOUD_ORG_ID=your_org_id \
           -e TRANSPORT=streamable-http \
           -p 8000:8000 \
           ghcr.io/aikts/yandex-tracker-mcp:latest

Building the Image Locally

docker build -t yandex-tracker-mcp .

Docker Compose

Using pre-built image:

services:
  mcp-tracker:
    image: ghcr.io/aikts/yandex-tracker-mcp:latest
    ports:
      - "8000:8000"
    environment:
      - TRACKER_TOKEN=${TRACKER_TOKEN}
      - TRACKER_CLOUD_ORG_ID=${TRACKER_CLOUD_ORG_ID}
      - TRANSPORT=streamable-http

Building locally:

services:
  mcp-tracker:
    build: .
    ports:
      - "8000:8000"
    environment:
      - TRACKER_TOKEN=${TRACKER_TOKEN}
      - TRACKER_CLOUD_ORG_ID=${TRACKER_CLOUD_ORG_ID}
      - TRANSPORT=streamable-http

Development Setup

# Clone and setup
git clone https://github.com/aikts/yandex-tracker-mcp
cd yandex-tracker-mcp

# Install development dependencies
uv sync --dev

# Formatting and static checking
task

License

This project is licensed under the terms specified in the LICENSE file.

Support

For issues and questions:

• Review Yandex Tracker API documentation

• Submit issues at https://github.com/aikts/yandex-tracker-mcp/issues