Home › Knowledge & Memory › PipesHub
PipesHub
Permissioned search and cited answers over Slack, Drive, Gmail, Jira, and 50+ workplace sources.
Topics: Knowledge & Memory
Connect
Review any command before running it. Package names and URLs come from the server's own registry entry.
Remote (streamable-http)
https://{instance_host}/mcp
Claude Code:
claude mcp add --transport http mcp-server https://{instance_host}/mcp --header "Authorization: <YOUR_VALUE>"
Or add to your MCP client config:
{
"mcpServers": {
"mcp-server": {
"url": "https://{instance_host}/mcp",
"headers": {
"Authorization": "<YOUR_VALUE>"
}
}
}
}
Authorizationrequired secret — Bearer PAT. Value is 'Bearer <token>'. Never client_credentials.
Package (npm 4.9.1)
npx -y @pipeshub-ai/[email protected]
Or add to your MCP client config:
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@pipeshub-ai/[email protected]"
]
}
}
}
PIPESHUB_MCP_CHAT— "off" leaves out pipeshub_chat and pipeshub_agents so agents search and read records themselves. Default "on" keeps every tool.
This server takes extra arguments — see its repository.
Related servers
modelcontextprotocol/servers
Direct local file system access.
Context7
Up-to-date docs for AI agents
hindsight
Hindsight: long-term memory for AI agents modeled on human memory.
cognee
Memory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
Skill_Seekers
Turn docs, GitHub repos, PDFs, videos, Confluence, Notion and Slack/Discord into AI skills and RAG knowledge, exportable to vector…
basic-memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
Listed in punkpeye/awesome-mcp-servers (MIT)
Data from the Official MCP Registry