🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. The the project is moved mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 14 defined tools rather than through you.
THE PROJECT HAS BEEN SPLIT AND MOVED TO INDIVIDUAL REPOSITORIES.
Everything the assistant can do here goes through one of these:
gemini — Gemini-powered searchfetch — Fetch toolsconfluence — Confluence toolsyoutube — YouTube toolsjira — Jira toolsgitlab — GitLab toolsscript — Script toolsrag — RAG toolsdeepseek — Deepseek AI toolscalendar_create_event — The calendar_create_event tool exposed by this servercalendar_list_events — The calendar_list_events tool exposed by this servercalendar_update_event — The calendar_update_event tool exposed by this serverYou will need 8 environment variables: QDRANT_HOST, ATLASSIAN_HOST, GITLAB_HOST, GITLAB_TOKEN, BRAVE_API_KEY, ATLASSIAN_TOKEN, GOOGLE_AI_API_KEY, PROXY_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. THE PROJECT IS MOVED's toolset — gemini, fetch, confluence and 11 more — is a fair guide to whether it matches your workflow. It is maintained by nguyenvanduocit; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| gemini | Gemini-powered search |
| fetch | Fetch tools |
| confluence | Confluence tools |
| youtube | YouTube tools |
| jira | Jira tools |
| gitlab | GitLab tools |
| script | Script tools |
| rag | RAG tools |
| deepseek | Deepseek AI tools |
| calendar_create_event | The calendar_create_event tool exposed by this server. |
| calendar_list_events | The calendar_list_events tool exposed by this server. |
| calendar_update_event | The calendar_update_event tool exposed by this server. |
| calendar_respond_to_event | The calendar_respond_to_event tool exposed by this server. |
| confluence_search | The confluence_search tool exposed by this server. |
3. Config your claude's config:
```json{claude_desktop_config.json}
{
"mcpServers": {
"my_mcp_server": {
"command": "all-in-one-model-context-protocol",
"args": ["-env", "/path/to/.env"],
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| QDRANT_HOST | Endpoint or connection string the server talks to. | Optional |
| ATLASSIAN_HOST | Endpoint or connection string the server talks to. | Optional |
| GITLAB_HOST | Endpoint or connection string the server talks to. | Optional |
| GITLAB_TOKEN | Credential the server authenticates with. | Yes |
| BRAVE_API_KEY | Credential the server authenticates with. | Yes |
| ATLASSIAN_TOKEN | Credential the server authenticates with. | Yes |
| GOOGLE_AI_API_KEY | Credential the server authenticates with. | Yes |
| PROXY_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.