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mayai-it

bandiradar-mcp

by mayai-it

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYNoOpenAI API key. Required if BANDIRADAR_LLM_PROVIDER is 'openai'.
ANTHROPIC_API_KEYNoAnthropic API key. Required if BANDIRADAR_LLM_PROVIDER is 'anthropic'.
BANDIRADAR_LLM_PROVIDERNoLLM provider for relevance scoring. Options: 'anthropic' or 'openai'. If not set, falls back to offline heuristic.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_sourcesA

List the registered funding sources as [{id, kind}].

fetch_opportunitiesC

Ingest a source into the store, saving progressively.

Returns a structured SourceResult dict: source, status
(ok/partial/failed/empty), fetched / mapped / new / amended / skipped_invalid,
error, duration_s, started_at / finished_at. ``sample`` defaults to True so it
is usable offline with zero secrets.
search_opportunitiesA

Rank opportunities for a profile (offline in sample mode).

Accepts EITHER ``profile_path`` OR an inline ``profile`` dict. Returns ranked
canonical views — no raw payloads. ``mode`` is the operating point
(precision|balanced|recall; precision needs an LLM key); an explicit ``min_score``
overrides it. ``with_benchmarks`` adds ANAC historical benchmark notes;
``with_documents`` folds attachment-PDF text into matching.
score_opportunityC

Score one stored opportunity for a profile; returns a single Match dict.

get_matchesA

Return PERSISTED matches for this profile_version (no recompute).

get_profileC

Return the parsed profile as a dict.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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