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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Phabricator REST API endpoints through the Model Context Protocol (MCP) server interface, translating HTTP-based Phabricator API calls into MCP tool definitions that LLM clients can invoke. Implements request routing, authentication token management, and response serialization to bridge Phabricator's native API with MCP-compatible clients (Claude, other LLM agents). Uses MCP server framework to register tools dynamically based on Phabricator API capabilities.
Unique: Implements MCP server pattern specifically for Phabricator, translating Conduit API (Phabricator's native RPC protocol) into MCP tool definitions that LLM clients can discover and invoke without custom HTTP handling. Manages Phabricator session tokens and request serialization internally.
vs alternatives: Enables direct Phabricator integration in MCP-compatible LLM workflows (Claude, etc.) without requiring custom HTTP client code or Phabricator API knowledge in agent logic, whereas direct API calls require agents to handle authentication and response parsing.
Provides MCP tools to query Phabricator tasks (Maniphest) and code revisions (Differential) using structured filters like status, assignee, project, and date ranges. Translates filter parameters into Phabricator Conduit API query constraints, executes searches, and returns paginated result sets with full task/revision metadata. Supports constraint composition for complex queries (e.g., 'open tasks assigned to user X in project Y modified in last 7 days').
Unique: Abstracts Phabricator's Conduit constraint language into MCP tool parameters, allowing LLM agents to construct complex queries without learning Phabricator API syntax. Handles pagination and result aggregation transparently, returning normalized JSON structures.
vs alternatives: Simpler for LLM agents than raw Conduit API calls because constraints are expressed as JSON parameters rather than Phabricator's native constraint format, reducing cognitive load on agent logic.
Enables MCP tools to create new Phabricator tasks (Maniphest) and code revisions (Differential) by accepting structured input (title, description, assignee, priority, custom fields) and mapping them to Phabricator's internal field schema. Handles field validation, custom field serialization, and returns the created object ID and metadata. Supports bulk creation via repeated tool calls.
Unique: Implements field mapping layer that translates generic task/revision input (title, description, assignee) into Phabricator's custom field schema, handling type coercion and validation. Exposes creation as MCP tools so agents can trigger task generation without understanding Phabricator's internal field structure.
vs alternatives: Abstracts Phabricator's complex custom field system from agent logic, whereas direct Conduit API calls require agents to know exact field keys and types for each Phabricator instance.
Provides MCP tools to update task and revision status, assignee, priority, and custom fields via Phabricator's transaction API. Accepts update parameters (new status, assignee, priority, custom field values) and applies them as atomic transactions, returning the updated object and transaction history. Supports conditional updates (e.g., 'only update if current status is X').
Unique: Leverages Phabricator's transaction system to apply updates atomically, ensuring audit trail and consistency. MCP tool interface abstracts transaction details from agents, exposing simple update parameters that map to underlying transactions.
vs alternatives: Provides transaction-based updates with audit trails, whereas simple REST PATCH calls lack Phabricator's built-in change tracking and may not guarantee consistency in concurrent scenarios.
Exposes MCP tools to fetch Phabricator repository metadata (name, VCS type, clone URLs, branches) and commit/changeset information (author, message, affected files, diff stats). Queries Phabricator's Diffusion application via Conduit API and returns structured commit data including file changes, line counts, and associated tasks/revisions. Supports filtering by branch, date range, or author.
Unique: Integrates Phabricator's Diffusion API to provide normalized commit metadata with associated task/revision links, enabling agents to understand code changes in the context of project management. Handles repository lookup by name or ID and abstracts Phabricator's internal commit representation.
vs alternatives: Provides unified access to commits and their associated Phabricator metadata (linked tasks, revisions) in a single query, whereas querying Git directly requires separate lookups to correlate with Phabricator data.
Provides MCP tools to manage code review workflows in Phabricator Differential: create revisions from diffs, request reviewers, add inline comments, approve/request changes, and transition revision status (draft → review → accepted → closed). Implements reviewer assignment logic, comment threading, and status transition validation. Supports bulk reviewer assignment and automated approval based on rules (e.g., 'auto-approve if all reviewers approved').
Unique: Abstracts Phabricator's Differential workflow (revision creation, reviewer assignment, inline comments, status transitions) into discrete MCP tools, enabling agents to manage code reviews without understanding Phabricator's revision lifecycle. Handles diff parsing and line-number mapping internally.
vs alternatives: Provides high-level code review workflow tools (create revision, request review, approve) whereas raw Conduit API requires agents to manage revision state and comment threading manually.
Exposes MCP tools to query Phabricator users and teams (projects with members), retrieve user profiles (name, email, avatar, status), and check permissions (whether a user can access a specific project or object). Queries Phabricator's user and project management APIs and returns normalized user/team data. Supports filtering by username, email, or team membership.
Unique: Combines user profile lookup with permission checking in a single MCP tool interface, allowing agents to validate both identity and access rights before assigning tasks or sharing information. Abstracts Phabricator's user/project hierarchy.
vs alternatives: Provides permission-aware user lookup, whereas simple user directory queries lack access control context and may expose sensitive information to unauthorized agents.
Provides MCP tools to query Phabricator's custom field definitions (for tasks, revisions, etc.), retrieve field metadata (type, required, allowed values, validation rules), and validate input values against field schemas. Enables agents to understand what custom fields are available and what values are valid before attempting to create or update objects. Returns field type information (text, select, date, etc.) and constraints.
Unique: Exposes Phabricator's custom field schema as queryable MCP tools, enabling agents to dynamically adapt to different Phabricator configurations without hardcoding field names or types. Provides field validation context that agents can use to generate valid input.
vs alternatives: Allows agents to discover and validate custom fields at runtime, whereas hardcoding field names requires manual configuration per Phabricator instance and breaks when fields change.
+1 more capabilities
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 Phabricator at 22/100.
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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