Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Descripción del creador (original en inglés)
Local code search and task context packs for coding agents
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.
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
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.
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.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
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.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
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 la cuenta de GitHub bvolpato, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
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.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.3.1) llegó al registro hace 10 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.
En la misma categoría: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
Search code and notes. Build context for coding tasks.
Files and queries stay on your machine. The default model downloads its pinned assets on first use.
Website · Architecture · Benchmarks · Contributing · Discussions
# Find code by intent
ig "where is refresh token rotated?"
ig context "fix refresh-token races" --since main --budget 8000
Abridged output:
# ivygrep context
Budget: 7642 / 8000 estimated tokens Coverage: 7 files | 2 primary | 1 definitions | 1 dependencies | 0 dependents | 2 callers | 0 references | 1 tests | 0 config | 0 docs Candidates: 31 retrieved | 14 selected
Why: task anchor; changed implementation. Signals: lexical, symbol, git change.
Search returns ranked file paths, line numbers, and previews. Context packs add related code and explain why each item was selected.
The context command uses your task, file paths in pasted text, and staged or uncommitted changes. With --since, it resolves the selected ref and finds its Git merge base with HEAD. The pack includes changes committed on the current branch since that base, plus staged, unstaged, and untracked files. The selected ref does not act as the diff base itself. Deleted changes can contribute Git history labeled git_deleted to a context pack. The unreleased deletion fix excludes missing files from current search results. The pack can include definitions, callers, dependencies, tests, configuration, and documentation. It trims the rendered Markdown to the requested estimated token budget. It does not generate an answer or modify files.
Use --since main, --since HEAD~3, or --since '@{upstream}' inside a Git worktree. For a directory without Git, omit --since.
# Homebrew on macOS or Linux
brew install bvolpato/tap/ivygrep
curl -fsSL https://raw.githubusercontent.com/bvolpato/ivygrep/main/install.sh | sh
# WinGet on Windows
winget install --id BrunoVolpato.ivygrep --exact
irm https://raw.githubusercontent.com/bvolpato/ivygrep/main/install.ps1 | iex
Installers select a compatible archive, verify its SHA-256 checksum, and install ig. The shell installer selects a Metal build on Apple Silicon. It selects CUDA only on Linux x86_64 when an NVIDIA GPU with compute capability 8.0 or newer is visible and the CUDA 13 runtime is available. Other supported hosts use the portable build. Homebrew installs the Metal build on Apple Silicon and portable builds on Intel macOS and Linux. CUDA and Metal accelerate optional transformer profiles; the default model runs on CPU in every build. Run ig hardware to check compatibility and see the matching reinstall command.
Build from source on macOS or Linux:
git clone https://github.com/bvolpato/ivygrep.git && cd ivygrep
./build.sh mkdir -p ~/.local/bin install -m 0755 target/release/ig ~/.local/bin/ig
The first query indexes the current repository. The daemon then watches for changes and updates the index incrementally.
Starting with v1.3.1, search immediately excludes a file that the safe file reader confirms is missing, even before watcher reconciliation. Reconciliation then removes entries owned by that workspace. Permission, unavailable, and symlink failures are not treated as deletion. Earlier releases retain the indexed-text fallback for missing files.
Linked Git worktrees share a base index. An overlay tombstone hides a base-backed file deleted on that branch without changing what other worktrees can search. Deleting a file added only in the worktree removes its overlay entries and does not need a base tombstone.
ig "where is authentication handled?" # hybrid semantic + lexical
ig --literal "handleAuth" # exact indexed lookup ig --symbol calculate_tax # definitions ig --refs calculate_tax # references and calls ig --callers calculate_tax # caller chunks ig "database migrations" src/api/ # path scope ig --all "retry policy" # all indexed projects ig --interactive "auth flow" # terminal UI ig --web "auth flow" . # local Web UI
Useful controls include -n for result files, -C for context lines, --type for language, --include/--exclude path globs, --lexical-only, --hash, and --json. --hash uses lightweight local embeddings for faster startup and no model download, with lower semantic quality. Run ig --help for full reference.
Literal search ranks files by matching lines. A bounded search shows up to three previews per file and reports omitted matches. Use --no-limit to return every match, or --file-name-only to return paths without building previews.
Standalone uppercase AND, OR, and NOT are Boolean operators. For example, ig "settings NOT render" excludes results that contain render. Short malformed expressions, such as a trailing OR, return an error.
If an invalid Boolean query spans multiple lines or has at least 13 words, ivygrep searches it as plain text. The results include a warning. The CLI writes it to stderr. MCP and the Web UI return it in warnings. Valid Boolean expressions keep their Boolean meaning, including in long prompts. To search operator words as text, use lowercase letters or wrap the words in backticks or quotes.
Multi-line queries that read as pasted source rank the code that contains the snippet above one-line definition signatures that share a few of its identifiers. Multi-paragraph prompts, pasted issue text, and questions with a blank line rank as prose, with signature matches scored like body text. For pasted error output, such as a traceback, a Caused by: chain, or a panicked at line, lexical, path, hash-vector, and reranking signals ignore runtime values such as paths outside the workspace, ids, and timestamps, and the static message text is matched against the code that raises it. Neural query vectors still embed the original text.
On macOS laptops, background neural enhancement pauses on battery power (ig --status shows Paused: Battery Power); set IVYGREP_ENHANCE_ON_BATTERY=1 to keep it running. The lightweight hash tier keeps computing on battery so semantic results stay available. However many workspaces change at once, at most two hash and two neural enhancement workers run at a time (IVYGREP_ENHANCE_MAX_WORKERS); the rest wait in the daemon, and the workspace searched or edited last goes first.
Index notes once. Watcher keeps them current, and queries use local semantic + lexical search by default:
ig --add ~/notes --wait-for-enhancement
ig -n 20 "what did we decide about cache invalidation?" ~/notes
Public MemoryQuest results (v1.2.7): 74.9% recall@20 at 87.63 ms warm p95. Benchmark measures retrieval only; answer accuracy is outside scope.
Codex and Claude Code packages install MCP configuration plus focused task-context skill:
codex plugin marketplace add bvolpato/ivygrep
codex plugin add ivygrep@ivygrep
claude plugin marketplace add bvolpato/ivygrep claude plugin install ivygrep@ivygrep
Automatic setup detects the client, preserves existing configuration, writes the absolute ig path, verifies the MCP handshake, and runs a search:
ig agent install claude
ig agent install codex ig agent install cursor ig agent doctor
Restart an open client after installation. Manual MCP setup is also available:
claude mcp add -s user ig -- ig --mcp
codex mcp add ig -- ig --mcp gemini mcp add --scope user --transport stdio ig ig --mcp
Cursor .cursor/mcp.json:
{"mcpServers":{"ig":{"type": "stdio", "command": "ig", "args": ["--mcp"]}}}
OpenCode opencode.json:
{"mcp":{"ig":{"type": "local", "command": ["ig", "--mcp"], "enabled": true}}}
Agents call ig_search for discovery. Set output=context_pack and budget_tokens=8000 when the task needs implementation context. Pass the absolute path to the active repository or worktree. Worktrees reuse the base index and store only changed chunks and tombstones.
Context packs can include definitions, callers, references, dependencies, dependents, tests, configuration, and docs.
Setup guides: Codex, Claude Code, Cursor, Gemini CLI, OpenCode, and MCP.
Recommended agent instruction:
Use ivygrep before broad filesystem scans. Pass absolute active worktree path.
Use natural-language queries for concepts and literal=true for identifiers. For implementation, request output=context_pack with budget_tokens=8000.
Fresh indexing publishes lexical results before vector enhancement. Worktrees reuse base index and store only divergent chunks and tombstones. Partial workspace failures return warnings with valid hits; complete failure errors.
ivygrep supports 45 language and file types. Twenty-four use Tree-sitter AST chunking: Rust, Python, Go, JavaScript, TypeScript, Java, C, C++, C#, Kotlin, Scala, PHP, Ruby, Swift, Elixir, Zig, Bash, Haskell, OCaml, Lua, Dart, Objective-C, Perl, and Starlark.
Read architecture for storage, commit order, retrieval, worktrees, protocols, security boundaries, and module ownership.
The historical v1.2.7 benchmark used a deterministic synthetic corpus with one million chunks. Across three hash-only tria
Solo se muestra el principio; lee el resto en el repo