| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes the entire Microsoft 365 ecosystem (Office, Outlook, Excel, Teams, SharePoint) through a single MCP server interface that translates tool calls into Microsoft Graph API requests. The server acts as a protocol bridge, converting MCP tool schemas into authenticated Graph API calls and marshaling responses back as structured data, eliminating the need for clients to handle OAuth, API versioning, or endpoint routing directly.
Unique: Implements MCP as a protocol adapter specifically for Microsoft Graph API, allowing LLM agents to treat the entire M365 suite as a unified tool registry rather than managing separate REST endpoints, authentication flows, and response parsing for each service (Outlook, Excel, Teams, SharePoint)
vs alternatives: Provides deeper M365 integration than generic REST API clients because it abstracts Graph API's complex permission model and multi-tenant routing into simple MCP tool calls, reducing integration boilerplate by 70%+ compared to direct Graph API usage
Enables reading, searching, filtering, and composing emails through Microsoft Graph's Mail API endpoints. The server translates MCP tool calls into Graph Mail resource queries (messages, folders, attachments) with support for OData filtering, pagination, and attachment handling. Supports both read operations (list, search, get message details) and write operations (send, draft, move to folders) with automatic handling of MIME encoding and attachment streaming.
Unique: Wraps Graph Mail API's OData filtering and KQL search syntax into simple MCP tool parameters, allowing agents to compose complex email queries without learning Graph's query language, and handles MIME encoding/decoding transparently for attachments
vs alternatives: Simpler than building custom IMAP/SMTP integrations because it leverages Microsoft's native API with built-in OAuth and multi-tenant support, and more feature-rich than basic email APIs because it exposes folder hierarchies, advanced search, and attachment streaming
Provides read and write access to Outlook calendars through Microsoft Graph's Calendar API, enabling agents to query events, create meetings, update attendees, and manage availability. The server translates MCP calls into Graph Calendar resource operations with support for recurring events, time zones, and attendee management. Handles calendar queries with date/time filtering, conflict detection, and automatic timezone normalization across different user locales.
Unique: Abstracts Graph Calendar API's RRULE-based recurrence model and timezone complexity into simple MCP tool calls, automatically handling timezone normalization and providing free/busy conflict detection without requiring agents to implement calendar math
vs alternatives: More integrated than generic calendar APIs because it works natively with Outlook's attendee resolution and organizational hierarchy, and simpler than building custom iCalendar parsers because Graph API handles RRULE expansion and timezone conversions
Enables reading, listing, uploading, and managing files stored in OneDrive and SharePoint through Microsoft Graph's Drive API. The server translates MCP calls into Graph Drive resource operations with support for file metadata queries, content streaming, folder hierarchies, and version history. Handles file operations including listing directory contents, downloading file content (with streaming for large files), uploading new files, and managing permissions and sharing links.
Unique: Bridges MCP tool calls to Graph Drive API's hierarchical file model, automatically resolving file paths to drive item IDs and handling both personal OneDrive and organizational SharePoint sites transparently through a unified interface
vs alternatives: More integrated than WebDAV or generic file APIs because it works with Outlook's attachment model and SharePoint's permission system, and simpler than direct OneDrive SDK usage because it abstracts drive ID resolution and OAuth token management
Provides programmatic access to Excel workbooks stored in OneDrive/SharePoint through Microsoft Graph's Excel API, enabling agents to read cell values, update ranges, query tables, and execute calculations. The server translates MCP calls into Graph Excel resource operations with support for named ranges, table queries, and formula evaluation. Handles workbook sessions for transactional updates and supports both read operations (get values, query tables) and write operations (update ranges, append rows).
Unique: Wraps Graph Excel API's session-based workbook model into stateless MCP tool calls, automatically managing workbook sessions and translating A1 cell notation into Graph API range queries without requiring agents to understand Excel's internal object model
vs alternatives: More integrated than generic spreadsheet APIs because it works with Excel's table model and formula evaluation, and simpler than Excel COM automation because it doesn't require local Excel installation and works across cloud-hosted workbooks
Enables reading and sending messages in Microsoft Teams channels and direct messages through Microsoft Graph's Teams API. The server translates MCP calls into Graph Teams resource operations with support for message queries, thread replies, and message formatting. Handles team/channel discovery, message history retrieval with pagination, and message composition with support for rich text formatting and @mentions.
Unique: Abstracts Graph Teams API's team/channel/message hierarchy into simple MCP tool calls, automatically resolving team and channel names to IDs and handling message threading without requiring agents to manage Teams' complex resource graph
vs alternatives: More integrated than generic chat APIs because it works with Teams' organizational structure and @mention resolution, and simpler than Teams SDK usage because it abstracts authentication and resource discovery
Implements OAuth 2.0 authentication and token management for Microsoft Graph API access, supporting both single-tenant and multi-tenant application scenarios. The server handles token acquisition, refresh, and caching, with support for different credential types (client credentials, delegated user permissions). Manages Azure AD app registration details and automatically routes requests to the correct tenant based on authenticated user context.
Unique: Implements OAuth token lifecycle management as part of the MCP server, automatically handling token refresh and tenant routing without exposing credential details to client code, supporting both interactive and service-to-service auth flows
vs alternatives: More secure than client-side OAuth because credentials are managed server-side and never exposed to LLM agents, and more flexible than hardcoded tokens because it supports dynamic tenant switching and automatic refresh
Translates Microsoft Graph API errors and exceptions into human-readable MCP error responses, providing context-specific guidance for common failure scenarios. The server maps Graph API HTTP status codes and error codes (e.g., 'ErrorAccessDenied', 'ErrorItemNotFound') to actionable error messages that help agents understand why operations failed and suggest remediation steps. Handles rate limiting, permission errors, and transient failures with appropriate retry logic.
Unique: Implements Graph API error code translation as a first-class concern in the MCP server, mapping low-level HTTP errors to high-level error categories that agents can reason about, with built-in retry logic for transient failures
vs alternatives: More helpful than raw Graph API errors because it provides context-specific remediation suggestions, and more resilient than client-side error handling because retry logic is centralized and consistent
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs Microsoft 365 at 25/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities