slite-mcp-server
MCP ServerFree'Slite MCP server'
Capabilities7 decomposed
slite workspace document retrieval via mcp protocol
Medium confidenceEnables LLM clients to fetch documents and pages from Slite workspaces through the Model Context Protocol (MCP) standard interface. Implements MCP resource handlers that translate client requests into Slite API calls, managing authentication via API tokens and returning structured document metadata and content. The server acts as a bridge between LLM applications and Slite's REST API, abstracting authentication and protocol translation.
Implements MCP server pattern specifically for Slite, providing standardized resource and tool handlers that abstract Slite's REST API behind the MCP protocol, enabling any MCP-compatible LLM client to access Slite workspaces without custom integration code
Provides native MCP integration for Slite (vs. building custom API wrappers), making it immediately compatible with Claude Desktop and other MCP clients without additional adapter layers
mcp resource handler registration for document access
Medium confidenceRegisters MCP resource handlers that define how LLM clients can request Slite documents through the MCP protocol. Uses the MCP SDK's resource registration API to expose Slite documents as queryable resources with URI schemes (e.g., 'slite://document/{id}'), managing resource metadata and implementing read handlers that fetch content on-demand. This enables clients to discover available resources and request them using standard MCP semantics.
Uses MCP SDK's resource handler pattern to expose Slite documents as first-class resources rather than tool calls, enabling more efficient client-side resource discovery and caching compared to tool-based approaches
Resource-based access is more efficient than tool-call-based document retrieval because clients can discover and cache resource metadata without invoking the server for each query
slite api authentication and token management
Medium confidenceManages Slite API authentication by accepting and validating API tokens, implementing token-based request signing for all Slite API calls. The server stores the token securely (in environment variables or configuration) and injects it into HTTP headers for each API request to Slite, handling authentication errors and token expiration gracefully. Implements retry logic for transient auth failures and provides clear error messages when tokens are invalid or revoked.
Implements token-based authentication for Slite API within the MCP server context, centralizing credential management so LLM clients never handle raw tokens — credentials are managed server-side only
Centralizing auth in the MCP server prevents token exposure to client applications, vs. requiring each client to manage Slite credentials independently
slite api http client with error handling and retries
Medium confidenceImplements an HTTP client that wraps Slite REST API calls with standardized error handling, retry logic for transient failures, and timeout management. Uses exponential backoff for rate-limit and temporary errors, maps Slite API error codes to meaningful messages, and implements circuit-breaker patterns for cascading failures. Handles network timeouts, malformed responses, and API version compatibility issues transparently.
Implements retry and circuit-breaker patterns specifically for Slite API reliability, abstracting transient failure handling from the MCP protocol layer so clients don't need to implement their own retry logic
Built-in retry and circuit-breaker logic is more reliable than naive HTTP clients, reducing cascading failures when Slite API experiences temporary outages
mcp tool definition and invocation for slite search
Medium confidenceDefines MCP tools that expose Slite search functionality to LLM clients, implementing tool schemas that specify search parameters (query, filters, limit) and tool handlers that execute searches against Slite. Uses MCP SDK's tool registration API to make search discoverable and callable by LLM clients, translating tool invocations into Slite API search requests and returning ranked results. Implements result formatting for LLM consumption (summaries, snippets, relevance scores).
Exposes Slite search as an MCP tool with structured schemas, enabling LLM clients to invoke search with type-safe parameters and receive formatted results, vs. requiring clients to implement search logic directly
Tool-based search is more discoverable and easier for LLM clients to use than raw API calls, and the MCP schema provides type safety and parameter validation
mcp server lifecycle management and stdio transport
Medium confidenceImplements the MCP server lifecycle using the MCP SDK's server class, managing initialization, request/response handling, and graceful shutdown. Uses stdio-based transport (stdin/stdout) to communicate with MCP clients, implementing the MCP protocol framing and message serialization. Handles server startup configuration, capability advertisement (which tools and resources are available), and error propagation back to clients through MCP error messages.
Uses MCP SDK's server abstraction to handle protocol-level details (framing, serialization, capability negotiation), allowing developers to focus on tool/resource implementation rather than protocol mechanics
MCP SDK abstracts away protocol complexity compared to implementing MCP from scratch, reducing implementation time and error surface
slite document content parsing and formatting for llm consumption
Medium confidenceParses Slite document responses (which may contain rich formatting, embedded media, or structured data) and formats them into text suitable for LLM consumption. Converts Slite's internal document format (likely JSON with nested content blocks) into plain text or Markdown, strips or describes media elements (images, videos), and handles special formatting (tables, code blocks, lists). Implements content truncation for very large documents to fit within LLM context windows.
Implements Slite-specific document parsing that understands Slite's content block structure and formatting conventions, vs. generic document parsers that treat Slite documents as opaque text
Slite-aware parsing preserves document structure and formatting better than naive text extraction, improving LLM understanding of document content
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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slite-mcp
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Tinybird
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@shortcut/mcp
Shortcut MCP Server
@ivotoby/openapi-mcp-server
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cls-mcp-server
[](https://www.npmjs.com/package/cls-mcp-server) [](https://github.com/Tencent/cls-mcp-server/blob/v1.0.2/LICENSE)
Best For
- ✓Teams using Slite as their knowledge base who want to integrate it with Claude or other MCP-compatible LLMs
- ✓Developers building LLM agents that need read access to Slite workspace content
- ✓Organizations standardizing on MCP for LLM tool integration
- ✓Developers implementing MCP servers who need to expose document-like resources
- ✓Teams building multi-source knowledge integrations (Slite + other document stores)
- ✓LLM application builders who want standardized resource discovery
- ✓Developers deploying MCP servers that need secure API credential management
- ✓Teams running MCP servers in shared environments (need token isolation)
Known Limitations
- ⚠Read-only access — cannot create, update, or delete documents in Slite
- ⚠Requires valid Slite API token with workspace access permissions
- ⚠Document retrieval latency depends on Slite API response times (typically 200-500ms per request)
- ⚠No built-in caching — repeated requests to same document hit Slite API each time
- ⚠Limited to documents accessible by the authenticated API token's workspace scope
- ⚠Resource URIs are static and defined at server startup — dynamic resource discovery requires server restart
Requirements
Input / Output
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'Slite MCP server'
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