Community Archive Connector
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Alternatives to Community Archive Connector
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Related Servers
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- AlicenseBqualityBmaintenanceEnables MCP clients such as Claude and Cursor to read timelines, search statuses, and look up users or conversations, plus optionally post, delete, favorite, and follow with explicit confirmation. It supports both local stdio launches and remote HTTP hosting with per-user authorization.15MIT
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- -licenseNot gradedqualityNot gradedmaintenanceA local read-only MCP server that lets MCP clients such as the Claude app fetch X/Twitter posts and search, Reddit posts, threads and search, and YouTube transcripts and search. It reads through your own saved logins using a fixed set of read-only commands, and cannot post, vote, follow or message.-
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TDQS
Scored across 15 tools
Most tools occupy clearly distinct slots: fetch-by-ID (ca_get_tweets), full-text search (ca_search_tweets), per-account timeline (ca_account_tweets), and global date window (ca_tweets_window) are well separated by their descriptions. The riskiest cluster is identity lookup — ca_account vs ca_members vs ca_find_people — where an agent must pick between exact profile, member roster, and fuzzy name search, but the descriptions do state the distinctions.
Every tool shares the ca_ namespace prefix and snake_case, which keeps the set readable as a unit. Verb style is mixed, though: some are verb_noun (ca_get_tweets, ca_search_tweets, ca_find_people), others are bare nouns (ca_account, ca_members, ca_receipt, ca_thread), and a few are phrasal (ca_first_said, ca_who_talks_about, ca_me).
At 15 tools the set sits at the top of the well-scoped range, and each tool maps to a distinguishable query pattern (ID lookup, search, timeline, aggregation, relation graph) rather than duplicating another. Nothing appears redundant or padded.
The surface covers the read-only archive domain thoroughly: profiles, tweet retrieval by ID, search, per-account and global timelines, relations, threads, provenance receipts, and analytic queries (first use, phrase trends, topic experts, follow-graph overlap). Minor gaps remain — no aggregate account statistics (tweet/media counts) and no media or URL-entity listing — but these are workarounds rather than dead ends for a read-only connector.