Beamer MCP by usefulapi for LangChain
io.usefulapi/beamer
Read posts, comments, reactions, feature requests, votes and NPS responses in Beamer.
client:LangChain
transport:streamable-http
tools:16
Install Beamer MCP by usefulapi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"beamer": {
"transport": "streamable_http",
"url": "https://beamer.usefulapi.io/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- beamer_list_posts
- beamer_count_posts
- beamer_get_post
- beamer_list_post_comments
- beamer_count_post_comments
- beamer_list_post_reactions
- beamer_count_post_reactions
- beamer_list_feature_requests
- beamer_count_feature_requests
- beamer_get_feature_request
- beamer_list_feature_request_comments
- beamer_list_feature_request_votes
- beamer_list_nps_responses
- beamer_count_nps_responses
- beamer_list_users
- beamer_get_unread_count