Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mcp-dir/recall-mcp --skill recall-mcpgit clone --depth 1 https://github.com/mcp-dir/recall-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mcp-dir/recall-mcp/recall-mcp)<a href="https://agentmods.dev/skills/mcp-dir/recall-mcp/recall-mcp"><img src="https://agentmods.dev/badge/skills/mcp-dir/recall-mcp/recall-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mcp-dir/recall-mcp/recall-mcp"><img src="https://agentmods.dev/badge/skills/mcp-dir/recall-mcp/recall-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00141 | $0.01043 |
| Opus 5 | $0.00071 | $0.00522 |
| Sonnet 5 | $0.00028 | $0.00209 |
| Haiku 4.5 | $0.00014 | $0.00104 |
Grade A, and why
recall-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.mcp.ai/api/recall/cards \ How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recall — REST API skill
Você tem acesso à Recall REST API na MCP.AI.
Recall (recall.it) — sua base de conhecimento de IA / 'segundo cérebro'. Via API oficial: busca semântica nos seus cards, listagem com filtros (tags, datas, URL de origem) e leitura do conteúdo de um card. Somente leitura (a escrita ainda não é exposta pela Recall). Gere sua API key em Settings → API & MCP (plano Max).
Base URL
https://api.mcp.ai/api/recall
Todo endpoint é um POST na Base URL + o path abaixo. Os parâmetros vão no corpo JSON.
Autenticação
Inclua em toda request:
Authorization: Bearer sk_live_...
Content-Type: application/json
Gere sua chave em https://app.mcp.ai/settings/api-keys (workspace API key
sk_live_…, não expira, revogável). Uma única chave serve pra todos os seus MCPs.
Formato de resposta
{ "ok": true, "tool": "<tool_id>", "result": <payload> }
Exemplo cURL
curl -X POST https://api.mcp.ai/api/recall/cards \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{}'
Reportar problemas
Se um endpoint retornar erro, vazio ou dado inesperado, reporte (não desista calado): POST /api/recall/report com { "message": "...", "context"?: "...", "conversation"?: [...] }. Isso notifica o time da MCP.AI.
Endpoints (3)
recall_list_cards
Lista os cards da base Recall. (POST /api/recall/cards)
| Parâmetro | Tipo | Obrigatório | Descrição |
|---|---|---|---|
tags |
string[] | Não | IDs de tag (UUIDs), máx. 50. |
date_from |
string | Não | Início (ISO 8601). |
date_to |
string | Não | Fim (ISO 8601). |
source_url_contains |
string | Não | Trecho na URL de origem (1-500). |
recall_get_card
Conteúdo (chunks) de um card. focus_query foca os trechos; max_chunks (1-50). (POST /api/recall/cards/{card_id})
| Parâmetro | Tipo | Obrigatório | Descrição |
|---|---|---|---|
card_id |
string | Sim | ID do card. |
focus_query |
string | Não | Consulta pra focar chunks (1-1000). |
max_chunks |
integer | Não | Máx. de chunks (1-50, default 20). |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 90 lines · 0 tokens per session scan A e680f2f77a6f
recall-mcp is a skill published in the GitHub repository mcp-dir/recall-mcp (0 stars, last pushed 12d ago), licensed MIT. It adds 141 tokens to every session and 1,043 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.