Misakanet runs on your own machine — the client starts it, so there is no endpoint to ping. 729 installs a week from pypi. Last commit 18 Sep 2026.
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
We read the source, 22 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
"problem": "`crontab -e` 设置好后,作业从未执行。输出没有、日志没有、进程没有。",
r = subprocess.run(
spawnSync(invocation.command, invocation.args, {
fixture_path = os.path.join(fixture_dir, fixture_name)
…ential store\n\n```bash\n# 确认 credential.helper=store 还在\ngit config --global credential.helper store\n# 确认 .git-credentials 里有有效 token\ncat ~/.git-credentials\n# 格式: https://<username>:<token>@github.com\n```\n\n### 4. 验证\n\n```bash\ngit ls-remote ori…
import { existsSync, mkdirSync, readFileSync, readdirSync, writeFileSync, copyFileSync, rmSync,
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
- name: Generate and Update CHANGELOG.md
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add misakanet -- uvx misakanet
{
"mcpServers": {
"misakanet": {
"args": [
"misakanet"
],
"command": "uvx"
}
}
}
[mcp_servers.misakanet]
command = "uvx"
args = ["misakanet"]
{
"mcpServers": {
"misakanet": {
"args": [
"misakanet"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"misakanet": {
"args": [
"misakanet"
],
"command": "uvx"
}
}
}
Efficient context management: code search, evidence packs, and memory for coding agents.
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
A self-improving, verifiable memory layer for AI coding agents.
Session memory for AI coding agents. Search past sessions, extract rules, and track what works.
Persistent memory graph for coding agents: hypotheses, evidence, and decisions survive sessions.
Read-only production error evidence for coding agents investigating failures.
Memory, docs, and repo context layer for engineering agents.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Answers built from our own checks of this server.