Your Obsidian vault,
accessible to AI
MCP server for Team Relay. Read, search, and write notes from Claude Code, Codex CLI, Cursor, or any MCP-compatible tool.
AI agents can't reach your knowledge base
Your knowledge base is right there. Your AI just can't access it.
Specs, architecture docs, meeting notes, project plans — all in Obsidian.
Your AI coding agent has no idea they exist.
You copy-paste context into prompts. Manually. Every time.
The agent hallucinates what it can't see.
MCP —a standard protocol for AI-to-vault access
Model Context Protocol (MCP) is an open standard for connecting AI tools to external data. Team Relay implements MCP so any compatible agent can read and write your vault through a single integration. No custom plugins per tool. No file system hacks.
Read
Notes, folders, and search results
Write
New docs or update existing ones
List
Files and folder structure
Search
Across the entire vault
How it works
Configure
{
"mcpServers": {
"team-relay": {
"command": "uvx",
"args": ["evc-team-relay-mcp"]
}
}
} Add the MCP server to your AI tool config.
Use
"Read the project spec and suggest architecture" "Write meeting notes to /meetings/today.md" "Search vault for auth implementation details" Your AI agent now has vault access.
For autonomous AI agents on OpenClaw
If you run OpenClaw —the self-hosted AI agent platform —Team Relay is available as a ready-made skill. Install in one line:
$ openclaw skill install venturecrew/evc-team-relay
skills:
- name: venturecrew/evc-team-relay
credentials:
relay_url: https://cp.tr.entire.vc
api_key: ${{ secrets.RELAY_API_KEY }} Agent reads yesterday's notes, generates a standup summary, writes it to the team log.
Agent reads project specs from the vault before writing any code. Always up to date.
Agent takes raw meeting notes, extracts action items, updates relevant project pages.
Use cases
Feed project context to coding agents
Point Claude Code or Codex at your project specs. The agent reads the latest version from your vault —not a stale paste from three weeks ago.
// Copy-paste 200 lines of spec into prompt
// Spec changes next day — agent doesn't know
// Hallucinated requirements everywhere "Read the spec at /projects/acme/spec.md
and implement the auth module"
// Agent reads live spec, always current Generate documentation automatically
CI pipeline writes API reference to your vault via MCP. Deploy triggers doc generation.
# In CI pipeline
evc-mcp write \
--path "/docs/api/v2-reference.md" \
--content "$(generate-api-docs)" Build AI workflows on team knowledge
Search your vault programmatically, pull context into custom AI pipelines. Your team's knowledge becomes structured input for any automation.
Keep client-facing docs in sync
AI reads your internal specs, rewrites them for an external audience, and publishes. Internal and public docs always aligned.
Onboard new team members
"Read the onboarding folder and answer my questions." New hires get answers grounded in your actual docs, not outdated wikis.
Configuration
Add Team Relay MCP to your tool of choice. Pick your setup:
{
"mcpServers": {
"team-relay": {
"command": "uvx",
"args": ["evc-team-relay-mcp"],
"env": {
"RELAY_CP_URL": "https://cp.tr.entire.vc",
"RELAY_API_KEY": "your-api-key"
}
}
}
} How it compares
| Manual copy-paste | RAG pipeline | File system access | Team Relay MCP | |
|---|---|---|---|---|
| Setup time | None | Hours-days | Minutes | Minutes |
| Always current | ✗ | Depends on indexing | ✓ | ✓ |
| Write back to vault | ✗ | ✗ | ✓ | ✓ |
| Works with any MCP tool | ✗ | ✗ | ✗ | ✓ |
| Access control | N/A | Custom | OS-level | API key + per-folder |
| Team collaboration | ✗ | ✗ | ✗ | ✓ |
| Search | ✗ | ✓ | grep/find | Full-text |
Manual copy-paste —no setup, but stale context and no write-back. Does not scale.
RAG pipeline —powerful search, but requires embedding infrastructure, indexing lag, and no writes.
File system access —works locally, but no team sync, no remote access, no access control.
Get started
Hosted
- 1
pip install evc-team-relay-mcp - 2 Sign up at entire.vc
- 3 Add config to your AI tool
- Done
Self-hosted
- 1 Deploy Team Relay on your VPS
- 2
pip install evc-team-relay-mcp - 3 Point config to your server URL
- Done
OpenClaw
- 1 Install the skill
- 2 Add credentials to agent config
- 3 Agent has vault access
- Done
Give your AI the context it needs
Stop copy-pasting. Start building with real knowledge.