Cari

Menampilkan 1-26 dari 26 server
RAG Documentation MCP Server
Pencarian
Retrieve and process documentation using vector search to provide relevant context for AI assistants.
rahulretnan/mcp-ragdocs
analyze-coverage-mcp
Pengembangan
Server MCP yang menjembatani laporan cakupan LCOV ke agen AI.
sofia-open-source/analyze-coverage-mcp
Baidu iRAG MCP Server
Pengembangan
Generate images using Baidu's iRAG API through a standardized MCP interface.
kuai0901/irag-mcp-server
Brokerage-MCP
Lainnya
An MCP server for brokerage functionalities, built with the MCP framework.
RaghavC16/Brokerage-MCP
Code Graph RAG MCP
Pengembangan
Code Rag with Graph - local only installation
github-com-er77-code-graph-rag-mcp
Gemini CLI RAG MCP
Pengembangan
A RAG-based Q&A server using a vector store built from Gemini CLI documentation.
pedarias/gemini-cli-rag-mcp
IBM Storage Insights MCP Server
Layanan Cloud
An open-source MCP server providing real-time observability for IBM Storage Insights assets.
IBM/ibm-storageinsights-mcpserver
Qdrant RAG MCP Server
Pencarian
A semantic search server for codebases using Qdrant, featuring intelligent GitHub issue and project management.
ancoleman/qdrant-rag-mcp
Servidor RAG Personal con MCP
Database
Server untuk Retrieval Augmented Generation (RAG), yang menyediakan akses klien AI ke basis pengetahuan pribadi yang dibangun dari dokumen pengguna.
caagudelo/MCP_RAG
Terragrunt GCP MCP Tool
Layanan Cloud
Kelola infrastruktur Google Cloud Platform (GCP) menggunakan Terragrunt, dengan dukungan untuk fitur eksperimental seperti AutoDevOps dan manajemen biaya.
spolspol/terragrunt-gcp-tool-mcp
Vast Storage MCP Server
Layanan Cloud
Server MCP (Model Context Protocol) yang memungkinkan LLM berinteraksi dengan API penyimpanan VAST Data. Server ini mengekspos titik akhir manajemen VAST Data sebagai alat untuk manajemen dan otomatisasi infrastruktur penyimpanan yang komprehensif.
jim-coyne/vast_mcp
Memstate AI
Kontrol Versi
Memori agen dengan kontrol versi ala git. LLM kustom mengubah percakapan menjadi fakta terstruktur dengan deteksi konflik otomatis - agen Anda melihat bagaimana keputusan berkembang, bukan empat gumpalan teks yang saling bertentangan. Reduksi token 80% dibandingkan sistem RAG/graf. MCP + REST.
resmimemstate-ai
Agentset
Pencarian
RAG MCP untuk data Agentset Anda.
agentset-ai/mcp-server
RAGMap
Pencarian
Subregistri dan server MCP yang berfokus pada RAG untuk menemukan dan merutekan ke server MCP yang mampu melakukan pencarian semantik, filter, dan peringkat yang dapat dijelaskan.
khalidsaidi/ragmap
Apache AGE MCP
Database
MCP server for Apache AGE graph databases on PostgreSQL. **21 MCP tools** — the most comprehensive Apache AGE MCP server (graph CRUD, Cypher queries, batch transactions, semantic search, Graph RAG, vis.js visualization, export/import) - **F#/.NET** — the only non-Python Apache AGE MCP server, installs as a single dotnet tool - **Production-grade** — BenchmarkDotNet-verified performance (cached queries in 62 ns, Cypher in 1 ms) - **Open source** — MIT license, published on [NuGet](https://www.nuget.org/packages/AgeMcp) - **Documentation** — full docs site at neftedollar.com/age-mcp
neftedollar/age-mcp
BCMS MCP
Pengembangan
Give me a one - two sentence description of the BCMS MCP # MCP The BCMS Model Context Protocol (MCP) integration enables AI assistants like Claude, Cursor, and other MCP-compatible tools to interact directly with your BCMS content. This allows you to create, read, and update content entries, manage media files, and explore your content structure—all through natural language conversations with AI. ## What is MCP? The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) is an open standard developed by Anthropic that allows AI applications to securely connect to external data sources and tools. With BCMS MCP support, you can leverage AI assistants to: - Query and explore your content structure - Create new content entries with AI-generated content - Update existing entries - Manage your media library - Get intelligent suggestions based on your content model --- ## Getting Started ### Prerequisites 1. A BCMS account with an active instance 2. An MCP key with appropriate permissions 3. An MCP-compatible client (Claude Desktop, Cursor, or any MCP client) ### Step 1: Create an MCP Key 1. Navigate to your BCMS dashboard 2. Go to Settings → MCP 3. Click Create MCP Key 4. Configure the permissions for templates you want the AI to access:GET: Read entries 5. POST: Create entries 6. PUT: Update entries 7. DELETE: Delete entries Note: Right now, MCP only supports creating, reading and updating content. ### Step 2: Configure Your MCP Client You can find full instructions for integrating BCMS with your AI tools right inside BCMS, on the MCP page. But in general, installing BCMS MCP works in a standard way: ``` { "mcpServers": { "bcms": { "url": "https://app.thebcms.com/api/v3/mcp?mcpKey=YOUR_MCP_KEY" } } } ``` ## Available Tools Once connected, your AI assistant will have access to the following tools based on your MCP key permissions: ### Content Discovery #### list_templates_and_entries Lists all templates and their entries that you have access to. This is typically the first tool to call when exploring your BCMS content. Returns: - Template IDs, names, and slugs - Entry IDs with titles and slugs for each language Example prompt: "Show me all the templates and entries in my BCMS" --- ### Entry Management #### list_entries_for_{templateId} Retrieves all entries for a specific template with full content data. A separate tool is generated for each template you have access to. Returns: - Complete entry data including all meta fields - Content in all configured languages - Entry statuses Example prompt: "List all blog posts from my Blog template" --- #### create_entry_for_{templateId} Creates a new entry for a specific template. The input schema is dynamically generated based on your template's field structure. Input: - statuses: Array of status assignments per language - meta: Array of metadata for each language (title, slug, custom fields) - content: Array of content nodes for each language Example prompt: "Create a new blog post titled 'Getting Started with BCMS' with a brief introduction paragraph" --- #### update_entry_for_{templateId} Updates an existing entry for a specific language. Input: - entryId: The ID of the entry to update - lng: Language code (e.g., "en") - status: Optional status ID - meta: Updated metadata - content: Updated content nodes Example prompt: "Update the introduction paragraph of my 'Getting Started' blog post" --- ### Media Management #### list_all_media Lists all media files in your media library. Returns: - Media IDs, names, and types - File metadata (size, dimensions for images) - Parent directory information Example prompt: "Show me all images in my media library" --- #### list_media_dirs Lists the directory structure of your media library. Returns: - Hierarchical directory structure - Directory IDs and names Example prompt: "Show me the folder structure of my media library" --- #### create-media-directory Creates a new directory in your media library. Input: - name: Name of the directory - parentId: Optional parent directory ID (root if not specified) Example prompt: "Create a new folder called 'Blog Images' in my media library" --- #### request-upload-media-url Returns a URL you use to upload a file (for example via POST with multipart form data), which avoids pushing large binaries through the MCP tool payload. You still need a valid file name and MIME type when uploading, as described in the tool response. Availability: Only when the MCP key has Can mutate media enabled. Example prompt: “Give me an upload URL for a new hero image, then tell me how to upload it.” Input: - fileName: Name of the file with extension - fileData: Base64-encoded file data (with data URI prefix) - parentId: Optional parent directory ID Example prompt: "Upload this image to my Blog Images folder" --- ### Linking Tools #### get_entry_pointer_link Generates an internal BCMS link to an entry for use in content. Input: - entryId: The ID of the entry to link to Returns: - Internal link format: entry:{entryId}@*_{templateId}:entry Example prompt: "Get me the internal link for the 'About Us' page entry" --- #### get_media_pointer_link Generates an internal BCMS link to a media item for use in content. Input: - mediaId: The ID of the media item Returns: - Internal link format: media:{mediaId}@*_@*_:entry Example prompt: "Get the link for the hero image so I can use it in my blog post" --- ## Content Structure ### Entry Content Nodes When creating or updating entries, content is structured as an array of nodes. Supported node types include: Type Description paragraph Standard text paragraph heading Heading (h1-h6) bulletList Unordered list orderedList Numbered list listItem List item codeBlock Code block with syntax highlighting blockquote Quote block image Image node widget Custom widget with props ### Example Content Structure ``` { "content": [ { "lng": "en", "nodes": [ { "type": "heading", "attrs": { "level": 1 }, "content": [ { "type": "text", "text": "Welcome to BCMS" } ] }, { "type": "paragraph", "content": [ { "type": "text", "text": "This is your first paragraph." } ] } ] } ] } ``` ## Security & Permissions ### MCP Key Scopes Your MCP key controls what the AI can access: - Template Access: Only templates explicitly granted in the MCP key are visible - Operation Permissions: Each template can have independent GET/POST/PUT/DELETE permissions - Media Access: Media operations are controlled separately ### Best Practices 1. Principle of Least Privilege: Only grant the permissions needed for your use case 2. Separate Keys: Create different MCP keys for different purposes or team members 3. Regular Rotation: Periodically rotate your MCP keys ## Use Cases ### Content Creation Workflows Blog Post Creation "Create a new blog post about the benefits of headless CMS. Include an introduction, three main benefits with explanations, and a conclusion. Use the Blog template." Product Updates "Update the price field for all products in the Electronics category to apply a 10% discount" ### Content Exploration Content Audit "List all blog posts that don't have a featured image set" Translation Status "Show me which entries are missing German translations" ### Media Organization Library Cleanup "Show me all unused images in the media library" Folder Setup "Create folder structure for: Products > Categories > Electronics, Clothing, Home" ## Troubleshooting ### Common Issues #### "MCP key not found" - Verify your MCP key format: keyId.keySecret.instanceId - Ensure the MCP key hasn't been deleted or deactivated - Check that you're using the correct instance #### "MCP key does not have access to template" - Review your MCP key permissions in the dashboard - Ensure the required operation (GET/POST/PUT/DELETE) is enabled for the template #### Session Expired - MCP sessions may timeout after periods of inactivity - Simply start a new conversation to establish a fresh session ### Getting Help - Documentation: [thebcms.com/docs](https://thebcms.com/docs) - Support: [[email protected]](mailto:[email protected]) - Community: [Join BCMS Discord](https://discord.com/invite/SYBY89ccaR) for community support ## Technical Reference ### Endpoint POST https://app.thebcms.com/api/v3/mcp?mcpKey={MCP_KEY} ### Transport BCMS MCP uses the Streamable HTTP transport with session management. Sessions are maintained via the mcp-session-id header. ### Response Format All tools return structured JSON responses conforming to the MCP specification with: - content: Array of content blocks - structuredContent: Typed response data ## Rate Limits MCP requests are subject to the same rate limits as API requests: - Requests are tracked per MCP key - Contact support if you need higher limits for production workloads
thebcms-com-docs-mcp
BerryRAG
Pengembangan
Sistem RAG lokal dengan integrasi Playwright MCP untuk Claude dan embedding OpenAI, menggunakan penyimpanan lokal.
berrydev-ai/berry-rag
ha-mcp-readonly
Lainnya
Server MCP (Model Context Protocol) hanya-baca untuk Home Assistant. Memberikan asisten AI (Claude Desktop, LibreChat, Cline) visibilitas penuh ke dalam rumah pintar Anda — status entitas, otomatisasi, skrip, perangkat, log, diagnostik — tanpa akses tulis. Juga menghasilkan snapshot konteks AI statis untuk sistem RAG, Proyek ChatGPT, Qwen, dan alat lain yang menerima file pengetahuan kustom. Dibangun dengan Python, berjalan di mana saja — secara lokal, di Docker, atau sebagai integrasi MCP.
paulomac1000/ha-mcp-readonly
knowledge-rag
Pencarian
Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, 9 file formats, file watcher, and 12 MCP tools. Zero external servers. pip install knowledge-rag
lyonzin/knowledge-rag
MCP-Airflow-API
Lainnya
MCP-Airflow-API adalah server MCP yang memanfaatkan Model Context Protocol (MCP) untuk mengubah operasi REST API Apache Airflow menjadi alat berbasis bahasa alami. Proyek ini menyembunyikan kompleksitas struktur API dan memungkinkan pengelolaan klaster Airflow secara intuitif melalui perintah bahasa alami.
github-com-call518-mcp-airflow-api
MCP RAG
Pencarian
A managed Retrieval-Augmented Generation (RAG) server using MCP, integrated with knowledge bases and OpenSearch.
kyopark2014/mcp-rag
mcp-reposkein
Pengembangan
Graf kode deterministik (GraphRAG) di atas repositori Anda untuk agen LLM — lokal-pertama, asli-git, tanpa-infrastruktur, disajikan melalui MCP.
reposkein/reposkein
Minima
Pencarian
RAG lokal (on-premises) dengan server MCP.
dmayboroda/minima
oxidize-pdf
Sistem File
Perangkat PDF bertenaga Rust melalui MCP: buat, baca, dan analisis PDF; ekstrak teks dan entitas untuk RAG; konversi ke Markdown; pisah/gabung/putar/urut ulang halaman; kelola bidang formulir dan anotasi; enkripsi dokumen. Berjalan secara lokal melalui uvx oxidize-mcp.
bzsanti/oxidize-python
PinRAG
Pengembangan
RAG MCP yang dikutip: PDF, GitHub, YouTube, ekspor Discord, file lokal, satu indeks bersama.
ndjordjevic/pinrag
vinted-mcp-server
Pencarian
Server MCP pertama untuk marketplace Vinted. Cari jutaan barang bekas, bandingkan harga di 19 negara (FR, DE, ES, IT, NL, BE, UK...), analisis profil penjual dengan rating dan status verifikasi, deteksi peluang arbitrase antar negara, dan lacak produk tren. 5 alat: search_items, get_item, get_seller, compare_prices, get_trending. 2 sumber daya: daftar negara, kategori. Bekerja dengan Claude Desktop, Cursor, Windsurf, dan klien kompatibel MCP lainnya. Tanpa konfigurasi — cukup npx.
www-npmjs-com-package-vinted-mcp-server

FAQ Model Context Protocol