Instagram Agent by Nova (CIVAI)
I use your Instagram Web browser session (Integrations → Instagram Web) via instagrapi, not Meta /…
Should I use this
Quality & Safety
Findings (2)
- LOWTool 'lookup_instagram_profile' description lacks action verbin lookup_instagram_profile
- LOWTool 'converse' description lacks action verbin converse
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"instagram-web-agent": {
"url": "https://nova.civai.co/mcp/agents/instagram-web-agent"
}
}
}Remote endpoints
https://nova.civai.co/mcp/agents/instagram-web-agentstreamable-httpWhat it can do
Tool inventory
Tools (9)
🟡send_direct_message(detail)
Instagram Web: send direct message
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}⚪lookup_instagram_profile(detail)
Instagram Web: lookup instagram profile
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟢fetch_user_recent_posts(detail)
Instagram Web: fetch user recent posts
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟢list_dm_threads(detail)
Instagram Web: list dm threads
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟢fetch_hashtag_recent_posts(detail)
Instagram Web: fetch hashtag recent posts
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟢fetch_user_stories(detail)
Instagram Web: fetch user stories
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟡fetch_post_comments(detail)
Instagram Web: fetch post comments
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}🟢search_instagram_accounts(detail)
Instagram Web: search instagram accounts
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string"
}
}
}⚪converse(reply_hint)
Reply conversationally when the request is ambiguous or needs clarification.
Input Schema
{
"type": "object",
"properties": {
"reply_hint": {
"type": "string",
"description": "Optional hint for the conversational reply."
}
}
}Community
Evidence