Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_grantsC

Search open U.S. federal grant opportunities (Grants.gov) by keyword with provenance.

get_grant_detailsA

Retrieve details for a specific grant opportunity by ID.

list_open_source_relevant_grantsC

Discover grants particularly relevant to open-source AI and public goods.

list_public_goods_fundingB

List donation, sponsorship, quadratic funding, and open-source public-goods funding opportunities (GitHub Sponsors, Open Collective, Gitcoin, Sentient, OpenSSF, NumFOCUS, PSF, etc.).

search_nsf_awardsC

Search NSF Awards (public API) for historical and active awards.

refresh_corpusC

Trigger continuous-ingestion style refresh of the local grant corpus.

run_evaluationC

Run the basic OpenGrants evaluation harness.

upsert_profileB

Create or update a project/researcher profile for matching and drafting. focus_areas = comma-separated.

draft_proposal_outlineA

Generate a grounded proposal outline + short pitch for a profile + opportunity (works for grants and donation/public-goods vehicles).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
server_status
data_sources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ANAMIZED/OpenGOS'

If you have feedback or need assistance with the MCP directory API, please join our Discord server