Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Point Gecko at an OpenAPI spec; get first-call-correct, auth-hidden agent tools.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://mcp.geckovision.tech/mcpAbre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"surf": {
"command": "uvx",
"args": [
"gecko-surf"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http surf https://mcp.geckovision.tech/mcpclaude mcp add surf -- uvx gecko-surfPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"surf": {
"url": "https://mcp.geckovision.tech/mcp"
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"surf": {
"command": "uvx",
"args": [
"gecko-surf"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"surf": {
"type": "http",
"url": "https://mcp.geckovision.tech/mcp"
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"surf": {
"type": "stdio",
"command": "uvx",
"args": [
"gecko-surf"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://mcp.geckovision.tech/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con el dominio geckovision.tech (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.2.0) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Georgia MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server for Georgian public data, read from the organizations that publish it.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Stop letting your agent guess
Check the call before it counts. Gecko is open-source and runs on your machine:
one command maps any API — messy, paywalled, or on-chain — into a call graph your agent
checks instead of guesses from , and anything that spends is simulated to a receipt first.
No wallet, no payment rail, no key held — 64 mainnet transactions, 49 with a cost predicted before signing, 47 of those exact to the unit (re-read from the chain, 2026-09-19).
Quickstart · Docs · Architecture · FAQ · Security
Built for the calls your agent must not get wrong. Two axes, either one qualifies:
a messy surface (paywalled, drifting, undocumented, on-chain) or a **high-stakes
action** (your agent runs unattended with credentials or money).
Gecko is an open-source knowledge graph built specifically for AI agents that call APIs. Point it at an OpenAPI spec, a docs site, or a Solana program's IDL and source, and it reads that surface into a graph your agent traverses — every fact tagged with where it came from, and anything it cannot establish flagged rather than guessed.
A specification tells your agent what a call *looks like*. It cannot tell it whether the call will *work*. That gap is in every spec, including a perfect one, and it is where agents fail expensively: not on the call that errors, but on the call that is accepted and wrong. Gecko closes it by handing back one specific call — and, for anything that spends, by simulating that call against real state first and returning a receipt.
It is not the agent and not an orchestrator. It holds no key, signs nothing, broadcasts nothing, and stores no response payload — it stores surfaces and correctness metadata, never your data.
No install:
npx @geckovision/gecko doctor # 1. check your environment
npx @geckovision/gecko add # 2. comprehend it — $0, no live call npx @geckovision/gecko report # 3. get the scorecard — grade + findings npx @geckovision/gecko serve # 4. your agent uses it over MCP
Or install once:
npm install -g @geckovision/gecko # prebuilt binary — no Python needed
uv tool install "gecko-surf[serve]" # or pip, if you want the Python package
gecko add
Plug into your agent:
# Claude Code
claude mcp add my-api -- npx -y @geckovision/gecko serve --stdio
{ "mcpServers": { "my-api": { "command": "npx", "args": ["-y", "@geckovision/gecko", "serve", " ", "--stdio"] } } }
Going live is a separate, deliberate step:
gecko auth set <provider> # key goes to your OS keychain — never mcp.json
Then your agent asks questions, not endpoints:
Which fixtures kick off in the next hour, and what are the current odds?
What is the peg state of USDC right now? Plan a swap of SOL for USDC on Meteora, bin_step 4.
An OpenAPI says what exists. An IDL says what a program looks like. Neither is enough to act:
Gecko replaces the guess with a graph:
extracted from the surface, recovered from source, or honestly flagged as unknown. Never fabricated.Most agent-tool layers are thin wrappers. Gecko is a memory substrate, and three of its design choices are deliberately different from the textbook:
| Choice | Why it matters |
|---|---|
| Deterministic semantic memory — lexical retrieval, no vector DB | the graph never "approximately" remembers; BM25 and vectors sit behind evidence gates |
| Self-generated episodic memory — categorical outcomes + a drift series | Gecko re-simulates to create its own episodes; no dependence on your data plane, no payloads stored |
| Typed procedural memory — plans as executable JSON | landing plans and derive orders a builder can run; text loses the join, ours can't |
And the depth is measured, not asserted:
overlays/) — the value of comprehension, quantified per program.Explore the diagrams: architecture on docs.geckovision.tech (all three views, rendered) · the map in this repo
Live, on a mainnet fork, $0:
| Case | Naive path | Gecko |
|---|---|---|
| Pump.fun buy | ❌ reverts — AccountNotInitialized (3012) | ✅ lands — 86,669 CU |
| Pump.fun sell | ❌ transfers the tokens, then reverts — InvalidBondingCurveV2 (6074) | ✅ lands — 50,783 CU |
| Meteora DLMM swap | ❌ reverts — derive-only, no ATA/wrap/bin-array preludes | ✅ wrap → swap → unwrap — 81,964 CU |
| Meteora pool derivation | ❌ stale 3-seed scheme → the wrong pool, silently | ✅ correct 4-seed derivation, differential-proven |
| Docs-only API (no spec) | agent invents endpoints | ✅ draft spec recovered, verified VERIFIED/REFUTED |
The facts behind those passes are not on any surface: a 4th PDA seed the SDK added in 2024, an account the IDL only mentions in prose, a fee field resolved by a refuting simulation. That is the graph your agent traverses.
TxLINE (paywalled sports odds) — without vs with Gecko
· MP4
Cross-API correlation — three APIs, one question
Pegana × Birdeye × Jupiter joined on a declared entity; the agent plans across surfaces first-try. Try it: gecko graph svg renders any surface's call graph.
Solana programs — buy a coffee on mainnet
Everything above is a $0 fork. This one is not: real mainnet, real USDC, a real espresso.
let_me_buy is a storefront program on Solana. A merchant stands up a store and lists products priced in USDC; a buyer scans a QR code and pays. One account per store — PDA(["receipts", store_name]) — holds the menu, the receipts, the running count and the merchant's authority.
MP4 version — one unedited take. The receipt says 24,956 CU before anything is signed; the chain charges 24,956 CU (4X8dCyZU…, slot 439046190). The key never leaves its enclave.
uvx --from "gecko-surf[serve,solana]" gecko-orquestra --program let_me_buy --stdio
Two facts the IDL does not carry, and both break the call:
mark_as_delivered declares its receipts seed as store_name, but that instruction's own arguments are _store_name and receipt_id. The seed names an argument that does not exist, so a deriver resolving seeds by argument name gets nothing for the one seed that selects the store. Gecko binds by seed value.make_purchase the store's authority is writable but not a signer. The buyer pays from ATA(signer, mint); the store is credited at ATA(authority, mint) — same mint, different owner. Derive both from one owner and you have built a purchase that pays the buyer back. Gecko refuses that plan before a builder is ever asked.The prediction tracks state, not a memorised constant. Three purchases at this one storefront were charged 23,789 → 24,183 → 24,956 CU; the last two are the *same product*. Each sale appends a receipt to the store's account, so the program does more work — and the receipt predicted the new number each time it was asked.
Gecko recovers what the surface drops, Orquestra builds the instruction, and the receipt says whether it lands — before any signature.
Control plane, never data plane. Gecko stores surfaces + correctness metadata — never response payloads, user data, or secrets.
Interactive diagrams · llms.txt · Receipt semantics
| Capability | Entry point |
|---|---|
| Serve any API to agents over MCP | gecko serve |
| Scorecard: grade + fixable findings + Playground | gecko report |
| Recover a draft spec from human docs | gecko from-docs |
| First-call-correctness tests for CI | gecko test |
| The surface graph, rendered | gecko graph svg |
| Program Surface: recovered seeds + derive plans | `gecko orquest
Solo se muestra el principio; lee el resto en el repo