microsoft-teams-mcp-server-by-cdata
Provides a local read-only MCP server that exposes Microsoft Teams data through CData JDBC Driver-backed, SQL-like tools (get_tables, get_columns, run_query) for AI clients such as Claude Desktop via stdio.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Uses local stdio (reduces network exposure), but the README does not describe TLS/network transport details because communication to the MCP server is via stdio. Authentication is delegated to CData JDBC driver; scope/granularity and secret-handling practices are not documented in the MCP README. If OAuth is used, tokens/refresh flows likely occur within the JDBC driver flow, but there is no explicit guidance on protecting connection strings or environment variables.
⚡ Reliability
Best When
You want an on-prem/local MCP integration to query live Teams-derived data using an LLM client on the same host, leveraging CData’s JDBC driver for authentication and data access.
Avoid When
You need a network-exposed API (REST/GraphQL), strong documented operational semantics (rate limits, pagination, retry/idempotency), or robust tool error-code documentation.
Use Cases
- • Natural-language querying of Microsoft Teams data by LLMs
- • Discovering available Teams-related tables/columns through tool calls
- • Running SQL SELECT queries (read-only) against Teams data mapped as relational models
Not For
- • Write/update/delete operations (the project is described as read-only)
- • Remote multi-tenant access over HTTP (it is stdio/local-machine only)
- • Operations requiring clear, documented rate limiting behavior or formal API contracts like OpenAPI
Interface
Authentication
Authentication is performed via the underlying CData JDBC driver. The README notes that if OAuth is used, authentication occurs in a browser as part of the JDBC connection setup.
Pricing
No pricing details for the MCP server itself are provided in the README; CData JDBC driver licensing is required (and includes trial vs license key in README instructions).
Agent Metadata
Known Gotchas
- ⚠ Server uses stdio; must run on the same machine as the client.
- ⚠ Tool inputs/outputs are described only at a high level; run_query expects a SQL SELECT query.
- ⚠ No explicit guidance on handling large result sets/pagination or rate limiting is provided in the README.
Alternatives
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Scores are editorial opinions as of 2026-04-04.