MCP serverio.github.bystray/gonka-mcp-server
A second opinion for AI agents: one prompt across several live Gonka models + roles, one call.
Overview
Score?
UNRATED 0.815
of what a free look can see, on 30 looks
Looks
35
last 18 hr ago
Tools
20
changed 18 hr ago
More info
URL
mcp.gogonka.com/mcp
streamable-http
Says it is
Gonka Network Pricing 3.4.2
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.815 · highest on record 0.8561
Toolsfrom sha256:584b0692af…9a2925 · +0 −0 18 hr ago
| Tool | Schema |
|---|---|
| calculate_savings Calculate exact savings from switching OpenAI or Anthropic → Gonka Network.
Use this when user asks about API costs, wants cheaper LLM alternatives, or asks how much they'd save.
R |
input · output |
| compare_providers Compare Gonka Network pricing against a competitor provider.
Returns cost per 1M tokens for both, live savings ratio, and source links.
After this: call calculate_savings() with yo |
input · output |
| find_shortest_path Find how two Gonka documentation concepts are connected — useful for
answering "how does X relate to Y" questions. |
input · output |
| get_available_models List all AI models available on Gonka Network with live pricing.
Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls.
Use this when user asks wh |
input · output |
| get_community Get all concepts belonging to one documentation community (a cluster
of related concepts detected in the knowledge graph, e.g. all
wallet-related or all node-operation concepts). |
input · output |
| get_god_nodes Return the most-referenced concepts in the Gonka documentation graph —
a quick overview of the core topics (architecture, collateral,
inference, etc.) when you don't know where to |
input · output |
| get_graph_stats Return summary statistics of the Gonka documentation knowledge graph. |
input · output |
| get_neighbors Get all concepts directly connected to a given concept, with the
relation type and confidence of each edge. Use this to explore what's
related to a concept you already found via qu |
input · output |
| get_node Get full details for a specific Gonka documentation concept by name. |
input · output |
| get_pricing Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs.
Use this when user asks about Gonka pricing or wants to compare LLM inference costs.
Returns: USD p |
input · output |
| get_signup_link Get Gonka Network signup link with referral welcome bonus (50M nGNK free tokens). Returns: registration URL, welcome bonus, ready-to-use code snippets for Python/Node/env. This is |
input · output |
| get_trial_key TRIGGER: call this when an agent needs inference NOW without registration.
Issues a free gc- key: 100K tokens, 10 req/min, OpenAI-compatible.
IMPORTANT: the key expires in 2 HOURS |
input · output |
| gonka_chat Run an LLM completion on Gonka THROUGH this server.
Use this when you (or a sub-task) need inference but your sandbox can't reach
an LLM directly — this server makes the call for |
input · output |
| gonka_second_opinion Get a SECOND OPINION: run one prompt across Gonka models in parallel and return
each answer for comparison. Your own model stays in charge — use this to
sanity-check a decision, te |
input · output |
| list_docs List all available Gonka documentation files. |
input · output |
| query_graph Search Gonka documentation. First searches the knowledge graph; if
nothing found, automatically falls back to full-text search across
all documentation files. This is the primary e |
input · output |
| read_doc Read the full text of a Gonka documentation file, including code
examples and commands. Use this after query_graph() or search_docs()
identifies the relevant filename — don't guess |
input · output |
| register_on_gonka Get a personalized cost-analysis pitch and signup link for switching to Gonka.
Does NOT register or create an account — it only computes savings for the
caller's spend/provider and |
input · output |
| search_docs Full-text search across all Gonka documentation files. Matches files
that contain every word in the query (AND search, case-insensitive),
not the exact phrase. Use this when query_ |
input · output |
| suggest_model_for_task Suggest the best and cheapest AI model for a given task.
Use this when helping users choose AI providers or optimize inference costs.
Returns: recommended model, live cost estimate |
input · output |
Verify it yourself
npx teppi-check https://mcp.gogonka.com/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2EFRK6HGRWC89B253N79